problem solving life examples

50 Problem-Solving and Critical Thinking Examples

Critical thinking and problem solving are essential skills for success in the 21st century. Critical thinking is the ability to analyze information, evaluate evidence, and draw logical conclusions. Problem solving is the ability to apply critical thinking to find effective solutions to various challenges. Both skills require creativity, curiosity, and persistence. Developing critical thinking and problem solving skills can help students improve their academic performance, enhance their career prospects, and become more informed and engaged citizens.

Sanju Pradeepa

In today’s complex and fast-paced world, the ability to think critically and solve problems effectively has become a vital skill for success in all areas of life. Whether it’s navigating professional challenges, making sound decisions, or finding innovative solutions, critical thinking and problem-solving are key to overcoming obstacles and achieving desired outcomes. In this blog post, we will explore problem-solving and critical thinking examples.

Table of Contents

Developing the skills needed for critical thinking and problem solving.

It is not enough to simply recognize an issue; we must use the right tools and techniques to address it. To do this, we must learn how to define and identify the problem or task at hand, gather relevant information from reliable sources, analyze and compare data to draw conclusions, make logical connections between different ideas, generate a solution or action plan, and make a recommendation.

The first step in developing these skills is understanding what the problem or task is that needs to be addressed. This requires careful consideration of all available information in order to form an accurate picture of what needs to be done. Once the issue has been identified, gathering reliable sources of data can help further your understanding of it. Sources could include interviews with customers or stakeholders, surveys, industry reports, and analysis of customer feedback.

After collecting relevant information from reliable sources, it’s important to analyze and compare the data in order to draw meaningful conclusions about the situation at hand. This helps us better understand our options for addressing an issue by providing context for decision-making. Once you have analyzed the data you collected, making logical connections between different ideas can help you form a more complete picture of the situation and inform your potential solutions.

Once you have analyzed your options for addressing an issue based on all available data points, it’s time to generate a solution or action plan that takes into account considerations such as cost-effectiveness and feasibility. It’s also important to consider the risk factors associated with any proposed solutions in order to ensure that they are responsible before moving forward with implementation. Finally, once all the analysis has been completed, it is time to make a recommendation based on your findings, which should take into account any objectives set out by stakeholders at the beginning of this process as well as any other pertinent factors discovered throughout the analysis stage.

By following these steps carefully when faced with complex issues, one can effectively use critical thinking and problem-solving skills in order to achieve desired outcomes more efficiently than would otherwise be possible without them, while also taking responsibility for decisions made along the way.

What Does Critical Thinking Involve: 5 Essential Skill

Problem-solving and critical thinking examples.

Problem-solving and critical thinking are key skills that are highly valued in any professional setting. These skills enable individuals to analyze complex situations, make informed decisions, and find innovative solutions. Here, we present 25 examples of problem-solving and critical thinking. problem-solving scenarios to help you cultivate and enhance these skills.

Ethical dilemma: A company faces a situation where a client asks for a product that does not meet quality standards. The team must decide how to address the client’s request without compromising the company’s credibility or values.

Brainstorming session: A team needs to come up with new ideas for a marketing campaign targeting a specific demographic. Through an organized brainstorming session, they explore various approaches and analyze their potential impact.

Troubleshooting technical issues : An IT professional receives a ticket indicating a network outage. They analyze the issue, assess potential causes (hardware, software, or connectivity), and solve the problem efficiently.

Negotiation : During contract negotiations, representatives from two companies must find common ground to strike a mutually beneficial agreement, considering the needs and limitations of both parties.

Project management: A project manager identifies potential risks and develops contingency plans to address unforeseen obstacles, ensuring the project stays on track.

Decision-making under pressure: In a high-stakes situation, a medical professional must make a critical decision regarding a patient’s treatment, weighing all available information and considering potential risks.

Conflict resolution: A team encounters conflicts due to differing opinions or approaches. The team leader facilitates a discussion to reach a consensus while considering everyone’s perspectives.

Data analysis: A data scientist is presented with a large dataset and is tasked with extracting valuable insights. They apply analytical techniques to identify trends, correlations, and patterns that can inform decision-making.

Customer service: A customer service representative encounters a challenging customer complaint and must employ active listening and problem-solving skills to address the issue and provide a satisfactory resolution.

Market research : A business seeks to expand into a new market. They conduct thorough market research, analyzing consumer behavior, competitor strategies, and economic factors to make informed market-entry decisions.

Creative problem-solvin g: An engineer faces a design challenge and must think outside the box to come up with a unique and innovative solution that meets project requirements.

Change management: During a company-wide transition, managers must effectively communicate the change, address employees’ concerns, and facilitate a smooth transition process.

Crisis management: When a company faces a public relations crisis, effective critical thinking is necessary to analyze the situation, develop a response strategy, and minimize potential damage to the company’s reputation.

Cost optimization : A financial analyst identifies areas where expenses can be reduced while maintaining operational efficiency, presenting recommendations for cost savings.

Time management : An employee has multiple deadlines to meet. They assess the priority of each task, develop a plan, and allocate time accordingly to achieve optimal productivity.

Quality control: A production manager detects an increase in product defects and investigates the root causes, implementing corrective actions to enhance product quality.

Strategic planning: An executive team engages in strategic planning to define long-term goals, assess market trends, and identify growth opportunities.

Cross-functional collaboration: Multiple teams with different areas of expertise must collaborate to develop a comprehensive solution, combining their knowledge and skills.

Training and development : A manager identifies skill gaps in their team and designs training programs to enhance critical thinking, problem-solving, and decision-making abilities.

Risk assessment : A risk management professional evaluates potential risks associated with a new business venture, weighing their potential impact and developing strategies to mitigate them.

Continuous improvement: An operations manager analyzes existing processes, identifies inefficiencies, and introduces improvements to enhance productivity and customer satisfaction.

Customer needs analysis: A product development team conducts extensive research to understand customer needs and preferences, ensuring that the resulting product meets those requirements.

Crisis decision-making: A team dealing with a crisis must think quickly, assess the situation, and make timely decisions with limited information.

Marketing campaign analysis : A marketing team evaluates the success of a recent campaign, analyzing key performance indicators to understand its impact on sales and customer engagement.

Constructive feedback: A supervisor provides feedback to an employee, highlighting areas for improvement and offering constructive suggestions for growth.

Conflict resolution in a team project: Team members engaged in a project have conflicting ideas on the approach. They must engage in open dialogue, actively listen to each other’s perspectives, and reach a compromise that aligns with the project’s goals.

Crisis response in a natural disaster: Emergency responders must think critically and swiftly in responding to a natural disaster, coordinating rescue efforts, allocating resources effectively, and prioritizing the needs of affected individuals.

Product innovation : A product development team conducts market research, studies consumer trends, and uses critical thinking to create innovative products that address unmet customer needs.

Supply chain optimization: A logistics manager analyzes the supply chain to identify areas for efficiency improvement, such as reducing transportation costs, improving inventory management, or streamlining order fulfillment processes.

Business strategy formulation: A business executive assesses market dynamics, the competitive landscape, and internal capabilities to develop a robust business strategy that ensures sustainable growth and competitiveness.

Crisis communication: In the face of a public relations crisis, an organization’s spokesperson must think critically to develop and deliver a transparent, authentic, and effective communication strategy to rebuild trust and manage reputation.

Social problem-solving: A group of volunteers addresses a specific social issue, such as poverty or homelessness, by critically examining its root causes, collaborating with stakeholders, and implementing sustainable solutions for the affected population.

Problem-Solving Mindset: How to Achieve It (15 Ways)

Risk assessment in investment decision-making: An investment analyst evaluates various investment opportunities, conducting risk assessments based on market trends, financial indicators, and potential regulatory changes to make informed investment recommendations.

Environmental sustainability: An environmental scientist analyzes the impact of industrial processes on the environment, develops strategies to mitigate risks, and promotes sustainable practices within organizations and communities.

Adaptation to technological advancements : In a rapidly evolving technological landscape, professionals need critical thinking skills to adapt to new tools, software, and systems, ensuring they can effectively leverage these advancements to enhance productivity and efficiency.

Productivity improvement: An operations manager leverages critical thinking to identify productivity bottlenecks within a workflow and implement process improvements to optimize resource utilization, minimize waste, and increase overall efficiency.

Cost-benefit analysis: An organization considering a major investment or expansion opportunity conducts a thorough cost-benefit analysis, weighing potential costs against expected benefits to make an informed decision.

Human resources management : HR professionals utilize critical thinking to assess job applicants, identify skill gaps within the organization, and design training and development programs to enhance the workforce’s capabilities.

Root cause analysis: In response to a recurring problem or inefficiency, professionals apply critical thinking to identify the root cause of the issue, develop remedial actions, and prevent future occurrences.

Leadership development: Aspiring leaders undergo critical thinking exercises to enhance their decision-making abilities, develop strategic thinking skills, and foster a culture of innovation within their teams.

Brand positioning : Marketers conduct comprehensive market research and consumer behavior analysis to strategically position a brand, differentiating it from competitors and appealing to target audiences effectively.

Resource allocation: Non-profit organizations distribute limited resources efficiently, critically evaluating project proposals, considering social impact, and allocating resources to initiatives that align with their mission.

Innovating in a mature market: A company operating in a mature market seeks to innovate to maintain a competitive edge. They cultivate critical thinking skills to identify gaps, anticipate changing customer needs, and develop new strategies, products, or services accordingly.

Analyzing financial statements : Financial analysts critically assess financial statements, analyze key performance indicators, and derive insights to support financial decision-making, such as investment evaluations or budget planning.

Crisis intervention : Mental health professionals employ critical thinking and problem-solving to assess crises faced by individuals or communities, develop intervention plans, and provide support during challenging times.

Data privacy and cybersecurity : IT professionals critically evaluate existing cybersecurity measures, identify vulnerabilities, and develop strategies to protect sensitive data from threats, ensuring compliance with privacy regulations.

Process improvement : Professionals in manufacturing or service industries critically evaluate existing processes, identify inefficiencies, and implement improvements to optimize efficiency, quality, and customer satisfaction.

Multi-channel marketing strategy : Marketers employ critical thinking to design and execute effective marketing campaigns across various channels such as social media, web, print, and television, ensuring a cohesive brand experience for customers.

Peer review: Researchers critically analyze and review the work of their peers, providing constructive feedback and ensuring the accuracy, validity, and reliability of scientific studies.

Project coordination : A project manager must coordinate multiple teams and resources to ensure seamless collaboration, identify potential bottlenecks, and find solutions to keep the project on schedule.  

These examples highlight the various contexts in which problem-solving and critical-thinking skills are necessary for success. By understanding and practicing these skills, individuals can enhance their ability to navigate challenges and make sound decisions in both personal and professional endeavors.

Conclusion:

Critical thinking and problem-solving are indispensable skills that empower individuals to overcome challenges, make sound decisions, and find innovative solutions. By honing these skills, one can navigate through the complexities of modern life and achieve success in both personal and professional endeavors. Embrace the power of critical thinking and problem-solving, and unlock the door to endless possibilities and growth.

• Problem solving From Wikipedia, the free encyclopedia
• Critical thinking From Wikipedia, the free encyclopedia
• The Importance of Critical Thinking and Problem Solving Skills for Students (5 Minutes)

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39 Best Problem-Solving Examples

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

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Problem-solving is a process where you’re tasked with identifying an issue and coming up with the most practical and effective solution.

This indispensable skill is necessary in several aspects of life, from personal relationships to education to business decisions.

Problem-solving aptitude boosts rational thinking, creativity, and the ability to cooperate with others. It’s also considered essential in 21st Century workplaces.

If explaining your problem-solving skills in an interview, remember that the employer is trying to determine your ability to handle difficulties. Focus on explaining exactly how you solve problems, including by introducing your thoughts on some of the following frameworks and how you’ve applied them in the past.

Problem-Solving Examples

1. divergent thinking.

Divergent thinking refers to the process of coming up with multiple different answers to a single problem. It’s the opposite of convergent thinking, which would involve coming up with a singular answer .

The benefit of a divergent thinking approach is that it can help us achieve blue skies thinking – it lets us generate several possible solutions that we can then critique and analyze .

In the realm of problem-solving, divergent thinking acts as the initial spark. You’re working to create an array of potential solutions, even those that seem outwardly unrelated or unconventional, to get your brain turning and unlock out-of-the-box ideas.

This process paves the way for the decision-making stage, where the most promising ideas are selected and refined.

Go Deeper: Divervent Thinking Examples

2. Convergent Thinking

Next comes convergent thinking, the process of narrowing down multiple possibilities to arrive at a single solution.

This involves using your analytical skills to identify the best, most practical, or most economical solution from the pool of ideas that you generated in the divergent thinking stage.

In a way, convergent thinking shapes the “roadmap” to solve a problem after divergent thinking has supplied the “destinations.”

Have a think about which of these problem-solving skills you’re more adept at: divergent or convergent thinking?

Go Deeper: Convergent Thinking Examples

3. Brainstorming

Brainstorming is a group activity designed to generate a multitude of ideas regarding a specific problem. It’s divergent thinking as a group , which helps unlock even more possibilities.

A typical brainstorming session involves uninhibited and spontaneous ideation, encouraging participants to voice any possible solutions, no matter how unconventional they might appear.

It’s important in a brainstorming session to suspend judgment and be as inclusive as possible, allowing all participants to get involved.

By widening the scope of potential solutions, brainstorming allows better problem definition, more creative solutions, and helps to avoid thinking “traps” that might limit your perspective.

Go Deeper: Brainstorming Examples

4. Thinking Outside the Box

The concept of “thinking outside the box” encourages a shift in perspective, urging you to approach problems from an entirely new angle.

Rather than sticking to traditional methods and processes, it involves breaking away from conventional norms to cultivate unique solutions.

In problem-solving, this mindset can bypass established hurdles and bring you to fresh ideas that might otherwise remain undiscovered.

Think of it as going off the beaten track when regular routes present roadblocks to effective resolution.

5. Case Study Analysis

Analyzing case studies involves a detailed examination of real-life situations that bear relevance to the current problem at hand.

For example, if you’re facing a problem, you could go to another environment that has faced a similar problem and examine how they solved it. You’d then bring the insights from that case study back to your own problem.

This approach provides a practical backdrop against which theories and assumptions can be tested, offering valuable insights into how similar problems have been approached and resolved in the past.

See a Broader Range of Analysis Examples Here

6. Action Research

Action research involves a repetitive process of identifying a problem, formulating a plan to address it, implementing the plan, and then analyzing the results. It’s common in educational research contexts.

The objective is to promote continuous learning and improvement through reflection and action. You conduct research into your problem, attempt to apply a solution, then assess how well the solution worked. This becomes an iterative process of continual improvement over time.

For problem-solving, this method offers a way to test solutions in real-time and allows for changes and refinements along the way, based on feedback or observed outcomes. It’s a form of active problem-solving that integrates lessons learned into the next cycle of action.

Go Deeper: Action Research Examples

7. Information Gathering

Fundamental to solving any problem is the process of information gathering.

This involves collecting relevant data , facts, and details about the issue at hand, significantly aiding in the understanding and conceptualization of the problem.

In problem-solving, information gathering underpins every decision you make.

This process ensures your actions are based on concrete information and evidence, allowing for an informed approach to tackle the problem effectively.

8. Seeking Advice

Seeking advice implies turning to knowledgeable and experienced individuals or entities to gain insights on problem-solving.

It could include mentors, industry experts, peers, or even specialized literature.

The value in this process lies in leveraging different perspectives and proven strategies when dealing with a problem. Moreover, it aids you in avoiding pitfalls, saving time, and learning from others’ experiences.

9. Creative Thinking

Creative thinking refers to the ability to perceive a problem in a new way, identify unconventional patterns, or produce original solutions.

It encourages innovation and uniqueness, often leading to the most effective results.

When applied to problem-solving, creative thinking can help you break free from traditional constraints, ideal for potentially complex or unusual problems.

Go Deeper: Creative Thinking Examples

10. Conflict Resolution

Conflict resolution is a strategy developed to resolve disagreements and arguments, often involving communication, negotiation, and compromise.

When employed as a problem-solving technique, it can diffuse tension, clear bottlenecks, and create a collaborative environment.

Effective conflict resolution ensures that differing views or disagreements do not become roadblocks in the process of problem-solving.

Go Deeper: Conflict Resolution Examples

11. Addressing Bottlenecks

Bottlenecks refer to obstacles or hindrances that slow down or even halt a process.

In problem-solving, addressing bottlenecks involves identifying these impediments and finding ways to eliminate them.

This effort not only smooths the path to resolution but also enhances the overall efficiency of the problem-solving process.

For example, if your workflow is not working well, you’d go to the bottleneck – that one point that is most time consuming – and focus on that. Once you ‘break’ this bottleneck, the entire process will run more smoothly.

12. Market Research

Market research involves gathering and analyzing information about target markets, consumers, and competitors.

In sales and marketing, this is one of the most effective problem-solving methods. The research collected from your market (e.g. from consumer surveys) generates data that can help identify market trends, customer preferences, and competitor strategies.

In this sense, it allows a company to make informed decisions, solve existing problems, and even predict and prevent future ones.

13. Root Cause Analysis

Root cause analysis is a method used to identify the origin or the fundamental reason for a problem.

Once the root cause is determined, you can implement corrective actions to prevent the problem from recurring.

As a problem-solving procedure, root cause analysis helps you to tackle the problem at its source, rather than dealing with its surface symptoms.

Go Deeper: Root Cause Analysis Examples

14. Mind Mapping

Mind mapping is a visual tool used to structure information, helping you better analyze, comprehend and generate new ideas.

By laying out your thoughts visually, it can lead you to solutions that might not have been apparent with linear thinking.

In problem-solving, mind mapping helps in organizing ideas and identifying connections between them, providing a holistic view of the situation and potential solutions.

15. Trial and Error

The trial and error method involves attempting various solutions until you find one that resolves the problem.

It’s an empirical technique that relies on practical actions instead of theories or rules.

In the context of problem-solving, trial and error allows you the flexibility to test different strategies in real situations, gaining insights about what works and what doesn’t.

16. SWOT Analysis

SWOT is an acronym standing for Strengths, Weaknesses, Opportunities, and Threats.

It’s an analytic framework used to evaluate these aspects in relation to a particular objective or problem.

In problem-solving, SWOT Analysis helps you to identify favorable and unfavorable internal and external factors. It helps to craft strategies that make best use of your strengths and opportunities, whilst addressing weaknesses and threats.

Go Deeper: SWOT Analysis Examples

17. Scenario Planning

Scenario planning is a strategic planning method used to make flexible long-term plans.

It involves imagining, and then planning for, multiple likely future scenarios.

By forecasting various directions a problem could take, scenario planning helps manage uncertainty and is an effective tool for problem-solving in volatile conditions.

18. Six Thinking Hats

The Six Thinking Hats is a concept devised by Edward de Bono that proposes six different directions or modes of thinking, symbolized by six different hat colors.

Each hat signifies a different perspective, encouraging you to switch ‘thinking modes’ as you switch hats. This method can help remove bias and broaden perspectives when dealing with a problem.

19. Decision Matrix Analysis

Decision Matrix Analysis is a technique that allows you to weigh different factors when faced with several possible solutions.

After listing down the options and determining the factors of importance, each option is scored based on each factor.

Revealing a clear winner that both serves your objectives and reflects your values, Decision Matrix Analysis grounds your problem-solving process in objectivity and comprehensiveness.

20. Pareto Analysis

Also known as the 80/20 rule, Pareto Analysis is a decision-making technique.

It’s based on the principle that 80% of problems are typically caused by 20% of the causes, making it a handy tool for identifying the most significant issues in a situation.

Using this analysis, you’re likely to direct your problem-solving efforts more effectively, tackling the root causes producing most of the problem’s impact.

21. Critical Thinking

Critical thinking refers to the ability to analyze facts to form a judgment objectively.

It involves logical, disciplined thinking that is clear, rational, open-minded, and informed by evidence.

For problem-solving, critical thinking helps evaluate options and decide the most effective solution. It ensures your decisions are grounded in reason and facts, and not biased or irrational assumptions.

Go Deeper: Critical Thinking Examples

22. Hypothesis Testing

Hypothesis testing usually involves formulating a claim, testing it against actual data, and deciding whether to accept or reject the claim based on the results.

In problem-solving, hypotheses often represent potential solutions. Hypothesis testing provides verification, giving a statistical basis for decision-making and problem resolution.

Usually, this will require research methods and a scientific approach to see whether the hypothesis stands up or not.

Go Deeper: Types of Hypothesis Testing

23. Cost-Benefit Analysis

A cost-benefit analysis (CBA) is a systematic process of weighing the pros and cons of different solutions in terms of their potential costs and benefits.

It allows you to measure the positive effects against the negatives and informs your problem-solving strategy.

By using CBA, you can identify which solution offers the greatest benefit for the least cost, significantly improving efficacy and efficiency in your problem-solving process.

Go Deeper: Cost-Benefit Analysis Examples

24. Simulation and Modeling

Simulations and models allow you to create a simplified replica of real-world systems to test outcomes under controlled conditions.

In problem-solving, you can broadly understand potential repercussions of different solutions before implementation.

It offers a cost-effective way to predict the impacts of your decisions, minimizing potential risks associated with various solutions.

25. Delphi Method

The Delphi Method is a structured communication technique used to gather expert opinions.

The method involves a group of experts who respond to questionnaires about a problem. The responses are aggregated and shared with the group, and the process repeats until a consensus is reached.

This method of problem solving can provide a diverse range of insights and solutions, shaped by the wisdom of a collective expert group.

26. Cross-functional Team Collaboration

Cross-functional team collaboration involves individuals from different departments or areas of expertise coming together to solve a common problem or achieve a shared goal.

When you bring diverse skills, knowledge, and perspectives to a problem, it can lead to a more comprehensive and innovative solution.

In problem-solving, this promotes communal thinking and ensures that solutions are inclusive and holistic, with various aspects of the problem being addressed.

27. Benchmarking

Benchmarking involves comparing one’s business processes and performance metrics to the best practices from other companies or industries.

In problem-solving, it allows you to identify gaps in your own processes, determine how others have solved similar problems, and apply those solutions that have proven to be successful.

It also allows you to compare yourself to the best (the benchmark) and assess where you’re not as good.

28. Pros-Cons Lists

A pro-con analysis aids in problem-solving by weighing the advantages (pros) and disadvantages (cons) of various possible solutions.

This simple but powerful tool helps in making a balanced, informed decision.

When confronted with a problem, a pro-con analysis can guide you through the decision-making process, ensuring all possible outcomes and implications are scrutinized before arriving at the optimal solution. Thus, it helps to make the problem-solving process both methodical and comprehensive.

29. 5 Whys Analysis

The 5 Whys Analysis involves repeatedly asking the question ‘why’ (around five times) to peel away the layers of an issue and discover the root cause of a problem.

As a problem-solving technique, it enables you to delve into details that you might otherwise overlook and offers a simple, yet powerful, approach to uncover the origin of a problem.

For example, if your task is to find out why a product isn’t selling your first answer might be: “because customers don’t want it”, then you ask why again – “they don’t want it because it doesn’t solve their problem”, then why again – “because the product is missing a certain feature” … and so on, until you get to the root “why”.

30. Gap Analysis

Gap analysis entails comparing current performance with potential or desired performance.

You’re identifying the ‘gaps’, or the differences, between where you are and where you want to be.

In terms of problem-solving, a Gap Analysis can help identify key areas for improvement and design a roadmap of how to get from the current state to the desired one.

31. Design Thinking

Design thinking is a problem-solving approach that involves empathy, experimentation, and iteration.

The process focuses on understanding user needs, challenging assumptions , and redefining problems from a user-centric perspective.

In problem-solving, design thinking uncovers innovative solutions that may not have been initially apparent and ensures the solution is tailored to the needs of those affected by the issue.

32. Analogical Thinking

Analogical thinking involves the transfer of information from a particular subject (the analogue or source) to another particular subject (the target).

In problem-solving, you’re drawing parallels between similar situations and applying the problem-solving techniques used in one situation to the other.

Thus, it allows you to apply proven strategies to new, but related problems.

33. Lateral Thinking

Lateral thinking requires looking at a situation or problem from a unique, sometimes abstract, often non-sequential viewpoint.

Unlike traditional logical thinking methods, lateral thinking encourages you to employ creative and out-of-the-box techniques.

In solving problems, this type of thinking boosts ingenuity and drives innovation, often leading to novel and effective solutions.

Go Deeper: Lateral Thinking Examples

34. Flowcharting

Flowcharting is the process of visually mapping a process or procedure.

This form of diagram can show every step of a system, process, or workflow, enabling an easy tracking of the progress.

As a problem-solving tool, flowcharts help identify bottlenecks or inefficiencies in a process, guiding improved strategies and providing clarity on task ownership and process outcomes.

35. Multivoting

Multivoting, or N/3 voting, is a method where participants reduce a large list of ideas to a prioritized shortlist by casting multiple votes.

This voting system elevates the most preferred options for further consideration and decision-making.

As a problem-solving technique, multivoting allows a group to narrow options and focus on the most promising solutions, ensuring more effective and democratic decision-making.

36. Force Field Analysis

Force Field Analysis is a decision-making technique that identifies the forces for and against change when contemplating a decision.

The ‘forces’ represent the differing factors that can drive or hinder change.

In problem-solving, Force Field Analysis allows you to understand the entirety of the context, favoring a balanced view over a one-sided perspective. A comprehensive view of all the forces at play can lead to better-informed problem-solving decisions.

TRIZ, which stands for “The Theory of Inventive Problem Solving,” is a problem-solving, analysis, and forecasting methodology.

It focuses on finding contradictions inherent in a scenario. Then, you work toward eliminating the contraditions through finding innovative solutions.

So, when you’re tackling a problem, TRIZ provides a disciplined, systematic approach that aims for ideal solutions and not just acceptable ones. Using TRIZ, you can leverage patterns of problem-solving that have proven effective in different cases, pivoting them to solve the problem at hand.

38. A3 Problem Solving

A3 Problem Solving, derived from Lean Management, is a structured method that uses a single sheet of A3-sized paper to document knowledge from a problem-solving process.

Named after the international paper size standard of A3 (or 11-inch by 17-inch paper), it succinctly records all key details of the problem-solving process from problem description to the root cause and corrective actions.

Used in problem-solving, this provides a straightforward and logical structure for addressing the problem, facilitating communication between team members, ensuring all critical details are included, and providing a record of decisions made.

39. Scenario Analysis

Scenario Analysis is all about predicting different possible future events depending upon your decision.

To do this, you look at each course of action and try to identify the most likely outcomes or scenarios down the track if you take that course of action.

This technique helps forecast the impacts of various strategies, playing each out to their (logical or potential) end. It’s a good strategy for project managers who need to keep a firm eye on the horizon at all times.

When solving problems, Scenario Analysis assists in preparing for uncertainties, making sure your solution remains viable, regardless of changes in circumstances.

How to Answer “Demonstrate Problem-Solving Skills” in an Interview

When asked to demonstrate your problem-solving skills in an interview, the STAR method often proves useful. STAR stands for Situation, Task, Action, and Result.

Situation: Begin by describing a specific circumstance or challenge you encountered. Make sure to provide enough detail to allow the interviewer a clear understanding. You should select an event that adequately showcases your problem-solving abilities.

For instance, “In my previous role as a project manager, we faced a significant issue when our key supplier abruptly went out of business.”

Task: Explain what your responsibilities were in that situation. This serves to provide context, allowing the interviewer to understand your role and the expectations placed upon you.

For instance, “It was my task to ensure the project remained on track despite this setback. Alternative suppliers needed to be found without sacrificing quality or significantly increasing costs.”

Action: Describe the steps you took to manage the problem. Highlight your problem-solving process. Mention any creative approaches or techniques that you used.

For instance, “I conducted thorough research to identify potential new suppliers. After creating a shortlist, I initiated contact, negotiated terms, assessed samples for quality and made a selection. I also worked closely with the team to re-adjust the project timeline.”

Result: Share the outcomes of your actions. How did the situation end? Did your actions lead to success? It’s particularly effective if you can quantify these results.

For instance, “As a result of my active problem solving, we were able to secure a new supplier whose costs were actually 10% cheaper and whose quality was comparable. We adjusted the project plan and managed to complete the project just two weeks later than originally planned, despite the major vendor setback.”

Remember, when you’re explaining your problem-solving skills to an interviewer, what they’re really interested in is your approach to handling difficulties, your creativity and persistence in seeking a resolution, and your ability to carry your solution through to fruition. Tailoring your story to highlight these aspects will help exemplify your problem-solving prowess.

Go Deeper: STAR Interview Method Examples

Benefits of Problem-Solving

Problem-solving is beneficial for the following reasons (among others):

• It can help you to overcome challenges, roadblocks, and bottlenecks in your life.
• It can save a company money.
• It can help you to achieve clarity in your thinking.
• It can make procedures more efficient and save time.
• It can strengthen your decision-making capacities.
• It can lead to better risk management.

Whether for a job interview or school, problem-solving helps you to become a better thinking, solve your problems more effectively, and achieve your goals. Build up your problem-solving frameworks (I presented over 40 in this piece for you!) and work on applying them in real-life situations.

• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 10 Reasons you’re Perpetually Single
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 20 Montessori Toddler Bedrooms (Design Inspiration)
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 21 Montessori Homeschool Setups
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd-2/ 101 Hidden Talents Examples

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26 Expert-Backed Problem Solving Examples – Interview Answers

Published: February 13, 2023

Interview Questions and Answers

Actionable advice from real experts:

Biron Clark

Former Recruiter

Contributor

Dr. Kyle Elliott

Career Coach

Hayley Jukes

Editor-in-Chief

Biron Clark , Former Recruiter

Kyle Elliott , Career Coach

Hayley Jukes , Editor

As a recruiter , I know employers like to hire people who can solve problems and work well under pressure.

 A job rarely goes 100% according to plan, so hiring managers are more likely to hire you if you seem like you can handle unexpected challenges while staying calm and logical.

But how do they measure this?

Hiring managers will ask you interview questions about your problem-solving skills, and they might also look for examples of problem-solving on your resume and cover letter. 

In this article, I’m going to share a list of problem-solving examples and sample interview answers to questions like, “Give an example of a time you used logic to solve a problem?” and “Describe a time when you had to solve a problem without managerial input. How did you handle it, and what was the result?”

• Problem-solving involves identifying, prioritizing, analyzing, and solving problems using a variety of skills like critical thinking, creativity, decision making, and communication.
• Describe the Situation, Task, Action, and Result ( STAR method ) when discussing your problem-solving experiences.
• Tailor your interview answer with the specific skills and qualifications outlined in the job description.
• Provide numerical data or metrics to demonstrate the tangible impact of your problem-solving efforts.

What are Problem Solving Skills? 

Problem-solving is the ability to identify a problem, prioritize based on gravity and urgency, analyze the root cause, gather relevant information, develop and evaluate viable solutions, decide on the most effective and logical solution, and plan and execute implementation. 

Problem-solving encompasses other skills that can be showcased in an interview response and your resume. Problem-solving skills examples include:

• Critical thinking
• Analytical skills
• Decision making
• Research skills
• Technical skills
• Communication skills
• Adaptability and flexibility

Why is Problem Solving Important in the Workplace?

Problem-solving is essential in the workplace because it directly impacts productivity and efficiency. Whenever you encounter a problem, tackling it head-on prevents minor issues from escalating into bigger ones that could disrupt the entire workflow. 

Beyond maintaining smooth operations, your ability to solve problems fosters innovation. It encourages you to think creatively, finding better ways to achieve goals, which keeps the business competitive and pushes the boundaries of what you can achieve. 

Effective problem-solving also contributes to a healthier work environment; it reduces stress by providing clear strategies for overcoming obstacles and builds confidence within teams. 

Examples of Problem-Solving in the Workplace

• Correcting a mistake at work, whether it was made by you or someone else
• Overcoming a delay at work through problem solving and communication
• Resolving an issue with a difficult or upset customer
• Overcoming issues related to a limited budget, and still delivering good work through the use of creative problem solving
• Overcoming a scheduling/staffing shortage in the department to still deliver excellent work
• Troubleshooting and resolving technical issues
• Handling and resolving a conflict with a coworker
• Solving any problems related to money, customer billing, accounting and bookkeeping, etc.
• Taking initiative when another team member overlooked or missed something important
• Taking initiative to meet with your superior to discuss a problem before it became potentially worse
• Solving a safety issue at work or reporting the issue to those who could solve it
• Using problem solving abilities to reduce/eliminate a company expense
• Finding a way to make the company more profitable through new service or product offerings, new pricing ideas, promotion and sale ideas, etc.
• Changing how a process, team, or task is organized to make it more efficient
• Using creative thinking to come up with a solution that the company hasn’t used before
• Performing research to collect data and information to find a new solution to a problem
• Boosting a company or team’s performance by improving some aspect of communication among employees
• Finding a new piece of data that can guide a company’s decisions or strategy better in a certain area

Problem-Solving Examples for Recent Grads/Entry-Level Job Seekers

• Coordinating work between team members in a class project
• Reassigning a missing team member’s work to other group members in a class project
• Adjusting your workflow on a project to accommodate a tight deadline
• Speaking to your professor to get help when you were struggling or unsure about a project
• Asking classmates, peers, or professors for help in an area of struggle
• Talking to your academic advisor to brainstorm solutions to a problem you were facing
• Researching solutions to an academic problem online, via Google or other methods
• Using problem solving and creative thinking to obtain an internship or other work opportunity during school after struggling at first

How To Answer “Tell Us About a Problem You Solved”

When you answer interview questions about problem-solving scenarios, or if you decide to demonstrate your problem-solving skills in a cover letter (which is a good idea any time the job description mentions problem-solving as a necessary skill), I recommend using the STAR method.

STAR stands for:

It’s a simple way of walking the listener or reader through the story in a way that will make sense to them. 

Start by briefly describing the general situation and the task at hand. After this, describe the course of action you chose and why. Ideally, show that you evaluated all the information you could given the time you had, and made a decision based on logic and fact. Finally, describe the positive result you achieved.

Note: Our sample answers below are structured following the STAR formula. Be sure to check them out!

EXPERT ADVICE

Dr. Kyle Elliott , MPA, CHES Tech & Interview Career Coach caffeinatedkyle.com

How can I communicate complex problem-solving experiences clearly and succinctly?

Before answering any interview question, it’s important to understand why the interviewer is asking the question in the first place.

When it comes to questions about your complex problem-solving experiences, for example, the interviewer likely wants to know about your leadership acumen, collaboration abilities, and communication skills, not the problem itself.

Therefore, your answer should be focused on highlighting how you excelled in each of these areas, not diving into the weeds of the problem itself, which is a common mistake less-experienced interviewees often make.

Tailoring Your Answer Based on the Skills Mentioned in the Job Description

As a recruiter, one of the top tips I can give you when responding to the prompt “Tell us about a problem you solved,” is to tailor your answer to the specific skills and qualifications outlined in the job description. 

Once you’ve pinpointed the skills and key competencies the employer is seeking, craft your response to highlight experiences where you successfully utilized or developed those particular abilities. 

For instance, if the job requires strong leadership skills, focus on a problem-solving scenario where you took charge and effectively guided a team toward resolution. 

By aligning your answer with the desired skills outlined in the job description, you demonstrate your suitability for the role and show the employer that you understand their needs.

Amanda Augustine expands on this by saying:

“Showcase the specific skills you used to solve the problem. Did it require critical thinking, analytical abilities, or strong collaboration? Highlight the relevant skills the employer is seeking.”  

Interview Answers to “Tell Me About a Time You Solved a Problem”

Now, let’s look at some sample interview answers to, “Give me an example of a time you used logic to solve a problem,” or “Tell me about a time you solved a problem,” since you’re likely to hear different versions of this interview question in all sorts of industries.

The example interview responses are structured using the STAR method and are categorized into the top 5 key problem-solving skills recruiters look for in a candidate.

1. Analytical Thinking

Situation: In my previous role as a data analyst , our team encountered a significant drop in website traffic.

Task: I was tasked with identifying the root cause of the decrease.

Action: I conducted a thorough analysis of website metrics, including traffic sources, user demographics, and page performance. Through my analysis, I discovered a technical issue with our website’s loading speed, causing users to bounce. 

Result: By optimizing server response time, compressing images, and minimizing redirects, we saw a 20% increase in traffic within two weeks.

2. Critical Thinking

Situation: During a project deadline crunch, our team encountered a major technical issue that threatened to derail our progress.

Task: My task was to assess the situation and devise a solution quickly.

Action: I immediately convened a meeting with the team to brainstorm potential solutions. Instead of panicking, I encouraged everyone to think outside the box and consider unconventional approaches. We analyzed the problem from different angles and weighed the pros and cons of each solution.

Result: By devising a workaround solution, we were able to meet the project deadline, avoiding potential delays that could have cost the company $100,000 in penalties for missing contractual obligations.

3. Decision Making

Situation: As a project manager , I was faced with a dilemma when two key team members had conflicting opinions on the project direction.

Task: My task was to make a decisive choice that would align with the project goals and maintain team cohesion.

Action: I scheduled a meeting with both team members to understand their perspectives in detail. I listened actively, asked probing questions, and encouraged open dialogue. After carefully weighing the pros and cons of each approach, I made a decision that incorporated elements from both viewpoints.

Result: The decision I made not only resolved the immediate conflict but also led to a stronger sense of collaboration within the team. By valuing input from all team members and making a well-informed decision, we were able to achieve our project objectives efficiently.

4. Communication (Teamwork)

Situation: During a cross-functional project, miscommunication between departments was causing delays and misunderstandings.

Task: My task was to improve communication channels and foster better teamwork among team members.

Action: I initiated regular cross-departmental meetings to ensure that everyone was on the same page regarding project goals and timelines. I also implemented a centralized communication platform where team members could share updates, ask questions, and collaborate more effectively.

Result: Streamlining workflows and improving communication channels led to a 30% reduction in project completion time, saving the company $25,000 in operational costs.

5. Persistence 

Situation: During a challenging sales quarter, I encountered numerous rejections and setbacks while trying to close a major client deal.

Task: My task was to persistently pursue the client and overcome obstacles to secure the deal.

Action: I maintained regular communication with the client, addressing their concerns and demonstrating the value proposition of our product. Despite facing multiple rejections, I remained persistent and resilient, adjusting my approach based on feedback and market dynamics.

Result: After months of perseverance, I successfully closed the deal with the client. By closing the major client deal, I exceeded quarterly sales targets by 25%, resulting in a revenue increase of $250,000 for the company.

Tips to Improve Your Problem-Solving Skills

Throughout your career, being able to showcase and effectively communicate your problem-solving skills gives you more leverage in achieving better jobs and earning more money .

So to improve your problem-solving skills, I recommend always analyzing a problem and situation before acting.

 When discussing problem-solving with employers, you never want to sound like you rush or make impulsive decisions. They want to see fact-based or data-based decisions when you solve problems.

Don’t just say you’re good at solving problems. Show it with specifics. How much did you boost efficiency? Did you save the company money? Adding numbers can really make your achievements stand out.

To get better at solving problems, analyze the outcomes of past solutions you came up with. You can recognize what works and what doesn’t.

Think about how you can improve researching and analyzing a situation, how you can get better at communicating, and deciding on the right people in the organization to talk to and “pull in” to help you if needed, etc.

Finally, practice staying calm even in stressful situations. Take a few minutes to walk outside if needed. Step away from your phone and computer to clear your head. A work problem is rarely so urgent that you cannot take five minutes to think (with the possible exception of safety problems), and you’ll get better outcomes if you solve problems by acting logically instead of rushing to react in a panic.

You can use all of the ideas above to describe your problem-solving skills when asked interview questions about the topic. If you say that you do the things above, employers will be impressed when they assess your problem-solving ability.

More Interview Resources

• 3 Answers to “How Do You Handle Stress?”
• How to Answer “How Do You Handle Conflict?” (Interview Question)
• Sample Answers to “Tell Me About a Time You Failed”

About the Author

Biron Clark is a former executive recruiter who has worked individually with hundreds of job seekers, reviewed thousands of resumes and LinkedIn profiles, and recruited for top venture-backed startups and Fortune 500 companies. He has been advising job seekers since 2012 to think differently in their job search and land high-paying, competitive positions. Follow on Twitter and LinkedIn .

Read more articles by Biron Clark

About the Contributor

Kyle Elliott , career coach and mental health advocate, transforms his side hustle into a notable practice, aiding Silicon Valley professionals in maximizing potential. Follow Kyle on LinkedIn .

About the Editor

Hayley Jukes is the Editor-in-Chief at CareerSidekick with five years of experience creating engaging articles, books, and transcripts for diverse platforms and audiences.

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What is Problem Solving? (Steps, Techniques, Examples)

By Status.net Editorial Team on May 7, 2023 — 5 minutes to read

What Is Problem Solving?

Definition and importance.

Problem solving is the process of finding solutions to obstacles or challenges you encounter in your life or work. It is a crucial skill that allows you to tackle complex situations, adapt to changes, and overcome difficulties with ease. Mastering this ability will contribute to both your personal and professional growth, leading to more successful outcomes and better decision-making.

Problem-Solving Steps

The problem-solving process typically includes the following steps:

• Identify the issue : Recognize the problem that needs to be solved.
• Analyze the situation : Examine the issue in depth, gather all relevant information, and consider any limitations or constraints that may be present.
• Generate potential solutions : Brainstorm a list of possible solutions to the issue, without immediately judging or evaluating them.
• Evaluate options : Weigh the pros and cons of each potential solution, considering factors such as feasibility, effectiveness, and potential risks.
• Select the best solution : Choose the option that best addresses the problem and aligns with your objectives.
• Implement the solution : Put the selected solution into action and monitor the results to ensure it resolves the issue.
• Review and learn : Reflect on the problem-solving process, identify any improvements or adjustments that can be made, and apply these learnings to future situations.

Defining the Problem

To start tackling a problem, first, identify and understand it. Analyzing the issue thoroughly helps to clarify its scope and nature. Ask questions to gather information and consider the problem from various angles. Some strategies to define the problem include:

• Brainstorming with others
• Asking the 5 Ws and 1 H (Who, What, When, Where, Why, and How)
• Analyzing cause and effect
• Creating a problem statement

Generating Solutions

Once the problem is clearly understood, brainstorm possible solutions. Think creatively and keep an open mind, as well as considering lessons from past experiences. Consider:

• Creating a list of potential ideas to solve the problem
• Grouping and categorizing similar solutions
• Prioritizing potential solutions based on feasibility, cost, and resources required
• Involving others to share diverse opinions and inputs

Evaluating and Selecting Solutions

Evaluate each potential solution, weighing its pros and cons. To facilitate decision-making, use techniques such as:

• SWOT analysis (Strengths, Weaknesses, Opportunities, Threats)
• Decision-making matrices
• Pros and cons lists
• Risk assessments

After evaluating, choose the most suitable solution based on effectiveness, cost, and time constraints.

Implementing and Monitoring the Solution

Implement the chosen solution and monitor its progress. Key actions include:

• Communicating the solution to relevant parties
• Setting timelines and milestones
• Assigning tasks and responsibilities
• Monitoring the solution and making adjustments as necessary
• Evaluating the effectiveness of the solution after implementation

Utilize feedback from stakeholders and consider potential improvements. Remember that problem-solving is an ongoing process that can always be refined and enhanced.

Problem-Solving Techniques

During each step, you may find it helpful to utilize various problem-solving techniques, such as:

• Brainstorming : A free-flowing, open-minded session where ideas are generated and listed without judgment, to encourage creativity and innovative thinking.
• Root cause analysis : A method that explores the underlying causes of a problem to find the most effective solution rather than addressing superficial symptoms.
• SWOT analysis : A tool used to evaluate the strengths, weaknesses, opportunities, and threats related to a problem or decision, providing a comprehensive view of the situation.
• Mind mapping : A visual technique that uses diagrams to organize and connect ideas, helping to identify patterns, relationships, and possible solutions.

Brainstorming

When facing a problem, start by conducting a brainstorming session. Gather your team and encourage an open discussion where everyone contributes ideas, no matter how outlandish they may seem. This helps you:

• Generate a diverse range of solutions
• Encourage all team members to participate
• Foster creative thinking

When brainstorming, remember to:

• Reserve judgment until the session is over
• Encourage wild ideas
• Combine and improve upon ideas

Root Cause Analysis

For effective problem-solving, identifying the root cause of the issue at hand is crucial. Try these methods:

• 5 Whys : Ask “why” five times to get to the underlying cause.
• Fishbone Diagram : Create a diagram representing the problem and break it down into categories of potential causes.
• Pareto Analysis : Determine the few most significant causes underlying the majority of problems.

SWOT Analysis

SWOT analysis helps you examine the Strengths, Weaknesses, Opportunities, and Threats related to your problem. To perform a SWOT analysis:

• List your problem’s strengths, such as relevant resources or strong partnerships.
• Identify its weaknesses, such as knowledge gaps or limited resources.
• Explore opportunities, like trends or new technologies, that could help solve the problem.
• Recognize potential threats, like competition or regulatory barriers.

SWOT analysis aids in understanding the internal and external factors affecting the problem, which can help guide your solution.

Mind Mapping

A mind map is a visual representation of your problem and potential solutions. It enables you to organize information in a structured and intuitive manner. To create a mind map:

• Write the problem in the center of a blank page.
• Draw branches from the central problem to related sub-problems or contributing factors.
• Add more branches to represent potential solutions or further ideas.

Mind mapping allows you to visually see connections between ideas and promotes creativity in problem-solving.

Examples of Problem Solving in Various Contexts

In the business world, you might encounter problems related to finances, operations, or communication. Applying problem-solving skills in these situations could look like:

• Identifying areas of improvement in your company’s financial performance and implementing cost-saving measures
• Resolving internal conflicts among team members by listening and understanding different perspectives, then proposing and negotiating solutions
• Streamlining a process for better productivity by removing redundancies, automating tasks, or re-allocating resources

In educational contexts, problem-solving can be seen in various aspects, such as:

• Addressing a gap in students’ understanding by employing diverse teaching methods to cater to different learning styles
• Developing a strategy for successful time management to balance academic responsibilities and extracurricular activities
• Seeking resources and support to provide equal opportunities for learners with special needs or disabilities

Everyday life is full of challenges that require problem-solving skills. Some examples include:

• Overcoming a personal obstacle, such as improving your fitness level, by establishing achievable goals, measuring progress, and adjusting your approach accordingly
• Navigating a new environment or city by researching your surroundings, asking for directions, or using technology like GPS to guide you
• Dealing with a sudden change, like a change in your work schedule, by assessing the situation, identifying potential impacts, and adapting your plans to accommodate the change.
• How to Resolve Employee Conflict at Work [Steps, Tips, Examples]
• How to Write Inspiring Core Values? 5 Steps with Examples
• 30 Employee Feedback Examples (Positive & Negative)

5 Examples of Problem Solving Scenarios + ROLE PLAY SCRIPTS

Problem-solving is an essential skill in our daily lives. It enables us to analyze situations, identify challenges, and find suitable solutions. In this article, we’ll explore five real-life problem-solving scenarios from various areas, including business, education, and personal growth. By understanding these examples, you can develop your problem-solving abilities and effectively tackle challenges in your life.

Examples of Problem Solving Scenarios

Improving Customer Service Scenario:

Solution : The store manager assembles a team to analyze customer feedback, identify key issues, and propose solutions. They implement a new training program focused on customer service skills, streamline the checkout process, and introduce an incentive system to motivate employees. As a result, customer satisfaction improves, and the store’s reputation is restored.

Enhancing Learning Outcomes Scenario:

A high school teacher notices that her students struggle with understanding complex concepts in her science class, leading to poor performance on tests.

Overcoming Procrastination Scenario:

An individual consistently procrastinates, leading to increased stress and reduced productivity.

Solution : The person identifies the root cause of their procrastination, such as fear of failure or lack of motivation. They establish clear goals and deadlines, break tasks into manageable steps, and use time management tools, like the Pomodoro Technique , to stay focused. By consistently applying these strategies, they successfully overcome procrastination and enhance their productivity.

Reducing Patient Wait Times Scenario:

Solution : The clinic’s management team conducts a thorough analysis of the appointment scheduling process and identifies bottlenecks. They implement a new appointment system, hire additional staff, and optimize the workflow to reduce wait times. As a result, patient satisfaction increases, and staff stress levels decrease.

Reducing Plastic Waste Scenario:

Solution : Community leaders organize a task force to address the issue. They implement a recycling program, educate residents about the environmental impact of plastic waste, and collaborate with local businesses to promote the use of eco-friendly packaging alternatives. These actions lead to a significant reduction in plastic waste and a cleaner, healthier community.

Conclusion : These five examples of problem-solving scenarios demonstrate how effective problem-solving strategies can lead to successful outcomes in various aspects of life. By learning from these scenarios, you can develop your problem-solving skills and become better equipped to face challenges in your personal and professional life. Remember to analyze situations carefully, identify the root causes, and implement solutions that address these issues for optimal results.

Role Play: Improving Customer Service in a Retail Store

Scenario : A retail store is experiencing a decline in customer satisfaction, with clients complaining about slow service and unhelpful staff.

Role Play Script:

Assistant Manager : I agree. We could also implement a new training program for our staff, focusing on customer service skills and techniques.

Sales Associate : (Smiling) Of course! I’d be happy to help. What product are you looking for?

Sales Associate : Let me check our inventory system to see if we have it in stock. (Checks inventory) I’m sorry, but it seems we’re currently out of stock. However, we’re expecting a new shipment within two days. I can take your contact information and let you know as soon as it arrives.

Customer : That would be great! Thank you for your help.

More Examples of Problem Solving Scenarios on the next page…

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10 Problem-solving strategies to turn challenges on their head

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What is an example of problem-solving?

What are the 5 steps to problem-solving, 10 effective problem-solving strategies, what skills do efficient problem solvers have, how to improve your problem-solving skills.

Problems come in all shapes and sizes — from workplace conflict to budget cuts.

Creative problem-solving is one of the most in-demand skills in all roles and industries. It can boost an organization’s human capital and give it a competitive edge. 

Problem-solving strategies are ways of approaching problems that can help you look beyond the obvious answers and find the best solution to your problem . 

Let’s take a look at a five-step problem-solving process and how to combine it with proven problem-solving strategies. This will give you the tools and skills to solve even your most complex problems.

Good problem-solving is an essential part of the decision-making process . To see what a problem-solving process might look like in real life, let’s take a common problem for SaaS brands — decreasing customer churn rates.

To solve this problem, the company must first identify it. In this case, the problem is that the churn rate is too high. 

Next, they need to identify the root causes of the problem. This could be anything from their customer service experience to their email marketing campaigns. If there are several problems, they will need a separate problem-solving process for each one. 

Let’s say the problem is with email marketing — they’re not nurturing existing customers. Now that they’ve identified the problem, they can start using problem-solving strategies to look for solutions. 

This might look like coming up with special offers, discounts, or bonuses for existing customers. They need to find ways to remind them to use their products and services while providing added value. This will encourage customers to keep paying their monthly subscriptions.

They might also want to add incentives, such as access to a premium service at no extra cost after 12 months of membership. They could publish blog posts that help their customers solve common problems and share them as an email newsletter.

The company should set targets and a time frame in which to achieve them. This will allow leaders to measure progress and identify which actions yield the best results.

Perhaps you’ve got a problem you need to tackle. Or maybe you want to be prepared the next time one arises. Either way, it’s a good idea to get familiar with the five steps of problem-solving. 

Use this step-by-step problem-solving method with the strategies in the following section to find possible solutions to your problem.

1. Identify the problem

The first step is to know which problem you need to solve. Then, you need to find the root cause of the problem. 

The best course of action is to gather as much data as possible, speak to the people involved, and separate facts from opinions. 

Once this is done, formulate a statement that describes the problem. Use rational persuasion to make sure your team agrees .

2. Break the problem down 

Identifying the problem allows you to see which steps need to be taken to solve it. 

First, break the problem down into achievable blocks. Then, use strategic planning to set a time frame in which to solve the problem and establish a timeline for the completion of each stage.

3. Generate potential solutions

At this stage, the aim isn’t to evaluate possible solutions but to generate as many ideas as possible. 

Encourage your team to use creative thinking and be patient — the best solution may not be the first or most obvious one.

Use one or more of the different strategies in the following section to help come up with solutions — the more creative, the better.

4. Evaluate the possible solutions

Once you’ve generated potential solutions, narrow them down to a shortlist. Then, evaluate the options on your shortlist. 

There are usually many factors to consider. So when evaluating a solution, ask yourself the following questions:

• Will my team be on board with the proposition?
• Does the solution align with organizational goals ?
• Is the solution likely to achieve the desired outcomes?
• Is the solution realistic and possible with current resources and constraints?
• Will the solution solve the problem without causing additional unintended problems?

5. Implement and monitor the solutions

Once you’ve identified your solution and got buy-in from your team, it’s time to implement it. 

But the work doesn’t stop there. You need to monitor your solution to see whether it actually solves your problem. 

Request regular feedback from the team members involved and have a monitoring and evaluation plan in place to measure progress.

If the solution doesn’t achieve your desired results, start this step-by-step process again.

There are many different ways to approach problem-solving. Each is suitable for different types of problems. 

The most appropriate problem-solving techniques will depend on your specific problem. You may need to experiment with several strategies before you find a workable solution.

Here are 10 effective problem-solving strategies for you to try:

• Use a solution that worked before
• Brainstorming
• Work backward
• Use the Kipling method
• Draw the problem
• Use trial and error
• Sleep on it
• Get advice from your peers
• Use the Pareto principle
• Add successful solutions to your toolkit

Let’s break each of these down.

1. Use a solution that worked before

It might seem obvious, but if you’ve faced similar problems in the past, look back to what worked then. See if any of the solutions could apply to your current situation and, if so, replicate them.

2. Brainstorming

The more people you enlist to help solve the problem, the more potential solutions you can come up with.

Use different brainstorming techniques to workshop potential solutions with your team. They’ll likely bring something you haven’t thought of to the table.

3. Work backward

Working backward is a way to reverse engineer your problem. Imagine your problem has been solved, and make that the starting point.

Then, retrace your steps back to where you are now. This can help you see which course of action may be most effective.

4. Use the Kipling method

This is a method that poses six questions based on Rudyard Kipling’s poem, “ I Keep Six Honest Serving Men .” 

• What is the problem?
• Why is the problem important?
• When did the problem arise, and when does it need to be solved?
• How did the problem happen?
• Where is the problem occurring?
• Who does the problem affect?

Answering these questions can help you identify possible solutions.

5. Draw the problem

Sometimes it can be difficult to visualize all the components and moving parts of a problem and its solution. Drawing a diagram can help.

This technique is particularly helpful for solving process-related problems. For example, a product development team might want to decrease the time they take to fix bugs and create new iterations. Drawing the processes involved can help you see where improvements can be made.

6. Use trial-and-error

A trial-and-error approach can be useful when you have several possible solutions and want to test them to see which one works best.

7. Sleep on it

Finding the best solution to a problem is a process. Remember to take breaks and get enough rest . Sometimes, a walk around the block can bring inspiration, but you should sleep on it if possible.

A good night’s sleep helps us find creative solutions to problems. This is because when you sleep, your brain sorts through the day’s events and stores them as memories. This enables you to process your ideas at a subconscious level. 

If possible, give yourself a few days to develop and analyze possible solutions. You may find you have greater clarity after sleeping on it. Your mind will also be fresh, so you’ll be able to make better decisions.

8. Get advice from your peers

Getting input from a group of people can help you find solutions you may not have thought of on your own. 

For solo entrepreneurs or freelancers, this might look like hiring a coach or mentor or joining a mastermind group. 

For leaders , it might be consulting other members of the leadership team or working with a business coach .

It’s important to recognize you might not have all the skills, experience, or knowledge necessary to find a solution alone. 

9. Use the Pareto principle

The Pareto principle — also known as the 80/20 rule — can help you identify possible root causes and potential solutions for your problems.

Although it’s not a mathematical law, it’s a principle found throughout many aspects of business and life. For example, 20% of the sales reps in a company might close 80% of the sales. 

You may be able to narrow down the causes of your problem by applying the Pareto principle. This can also help you identify the most appropriate solutions.

10. Add successful solutions to your toolkit

Every situation is different, and the same solutions might not always work. But by keeping a record of successful problem-solving strategies, you can build up a solutions toolkit. 

These solutions may be applicable to future problems. Even if not, they may save you some of the time and work needed to come up with a new solution.

Improving problem-solving skills is essential for professional development — both yours and your team’s. Here are some of the key skills of effective problem solvers:

• Critical thinking and analytical skills
• Communication skills , including active listening
• Decision-making
• Planning and prioritization
• Emotional intelligence , including empathy and emotional regulation
• Time management
• Data analysis
• Research skills
• Project management

And they see problems as opportunities. Everyone is born with problem-solving skills. But accessing these abilities depends on how we view problems. Effective problem-solvers see problems as opportunities to learn and improve.

Ready to work on your problem-solving abilities? Get started with these seven tips.

1. Build your problem-solving skills

One of the best ways to improve your problem-solving skills is to learn from experts. Consider enrolling in organizational training , shadowing a mentor , or working with a coach .

2. Practice

Practice using your new problem-solving skills by applying them to smaller problems you might encounter in your daily life. 

Alternatively, imagine problematic scenarios that might arise at work and use problem-solving strategies to find hypothetical solutions.

3. Don’t try to find a solution right away

Often, the first solution you think of to solve a problem isn’t the most appropriate or effective.

Instead of thinking on the spot, give yourself time and use one or more of the problem-solving strategies above to activate your creative thinking. 

4. Ask for feedback

Receiving feedback is always important for learning and growth. Your perception of your problem-solving skills may be different from that of your colleagues. They can provide insights that help you improve. 

5. Learn new approaches and methodologies

There are entire books written about problem-solving methodologies if you want to take a deep dive into the subject. 

We recommend starting with “ Fixed — How to Perfect the Fine Art of Problem Solving ” by Amy E. Herman. 

6. Experiment

Tried-and-tested problem-solving techniques can be useful. However, they don’t teach you how to innovate and develop your own problem-solving approaches. 

Sometimes, an unconventional approach can lead to the development of a brilliant new idea or strategy. So don’t be afraid to suggest your most “out there” ideas.

7. Analyze the success of your competitors

Do you have competitors who have already solved the problem you’re facing? Look at what they did, and work backward to solve your own problem. 

For example, Netflix started in the 1990s as a DVD mail-rental company. Its main competitor at the time was Blockbuster. 

But when streaming became the norm in the early 2000s, both companies faced a crisis. Netflix innovated, unveiling its streaming service in 2007. 

If Blockbuster had followed Netflix’s example, it might have survived. Instead, it declared bankruptcy in 2010.

Use problem-solving strategies to uplevel your business

When facing a problem, it’s worth taking the time to find the right solution. 

Otherwise, we risk either running away from our problems or headlong into solutions. When we do this, we might miss out on other, better options.

Use the problem-solving strategies outlined above to find innovative solutions to your business’ most perplexing problems.

If you’re ready to take problem-solving to the next level, request a demo with BetterUp . Our expert coaches specialize in helping teams develop and implement strategies that work.

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Elizabeth Perry, ACC

Elizabeth Perry is a Coach Community Manager at BetterUp. She uses strategic engagement strategies to cultivate a learning community across a global network of Coaches through in-person and virtual experiences, technology-enabled platforms, and strategic coaching industry partnerships. With over 3 years of coaching experience and a certification in transformative leadership and life coaching from Sofia University, Elizabeth leverages transpersonal psychology expertise to help coaches and clients gain awareness of their behavioral and thought patterns, discover their purpose and passions, and elevate their potential. She is a lifelong student of psychology, personal growth, and human potential as well as an ICF-certified ACC transpersonal life and leadership Coach.

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What Are Problem-Solving Skills? (Examples Included)

Mike Simpson 0 Comments

By Mike Simpson

Problem-solving skills are important not just for work. In the words of Karl Popper , “All life is problem-solving.”

What on earth does that mean? Simply that being alive means facing challenges. With problem-solving skills, you can navigate issues with greater ease, making hard times, well, less hard.

But what are problem-solving skills? How do you know if you have them or not? Why do they matter to your job search? And what should you do if you don’t feel yours are up to snuff? Luckily, we’re about to get into all of that.

If you’re curious about the world of problem-solving skills, here’s what you need to know.

What Are Problem-Solving Skills?

Before we dig into any examples, let’s focus first on an important question: what are problem-solving skills.

To answer that question, let’s start with the barebones basics. According to Merriam-Webster , problem-solving is “the process or act of finding a solution to a problem.” Why does that matter? Well, because it gives you insight into what problem-solving skills are.

Any skill that helps you find solutions to problems can qualify. And that means problem-solving skills aren’t just one capability, but a toolbox filled with soft skills and hard skills that come together during your time of need.

The ability to solve problems is relevant to any part of your life. Whether your writing a grocery list or dealing with a car that won’t start, you’re actually problem-solving.

The same is true at work, too. Most tasks actually involve a degree of problem-solving. Really? Really.

Think about it this way; when you’re given an assignment, you’re being asked, “Can you do this thing?” Doing that thing is the problem.

Then, you have to find a path that lets you accomplish what you need to do. That is problem-solving.

Yes, sometimes what you need to handle isn’t “challenging” in the difficulty sense. But that doesn’t mean it doesn’t count.

Besides, some of what you need to do will legitimately be hard. Maybe you’re given a new responsibility, or something goes wrong during a project. When that happens, you’ll have to navigate unfamiliar territory, gather new information, and think outside of the box. That’s problem-solving, too.

That’s why hiring managers favor candidates with problem-solving skills. They make you more effective in your role, increasing the odds that you can find solutions whenever the need arises.

How Are Problem-Solving Skills Relevant to a Job Search?

Alright, you probably have a good idea of what problem-solving skills are. Now, it’s time to talk about why they matter to your job search.

We’ve already touched on one major point: hiring managers prefer candidates with strong problem-solving skills. That alone makes these capabilities a relevant part of the equation. If you don’t show the hiring manager you’ve got what it takes to excel, you may struggle to land a position.

But that isn’t the only reason these skills matter. Problem-solving skills can help you during the entire job search process. After all, what’s a job search but a problem – or a series of problems – that needs an answer.

You need a new job; that’s the core problem you’re solving. But every step is its own unique challenge. Finding an opening that matches your skills, creating a resume that resonates with the hiring manager, nailing the interview, and negotiating a salary … those are all smaller problems that are part of the bigger one.

So, problem-solving skills really are at the core of the job search experience. By having strong capabilities in this area, you may find a new position faster than you’d expect.

Okay, you may be thinking, “If hiring managers prefer candidates with problem-solving skills, which ones are they after? Are certain problem-solving capabilities more important today? Is there something I should be going out of my way to showcase?”

While any related skills are worth highlighting, some may get you further than others. Analysis, research, creativity, collaboration , organization, and decision-making are all biggies. With those skills, you can work through the entire problem-solving process, making them worthwhile additions to your resume.

But that doesn’t mean you have to focus there solely. Don’t shy away from showcasing everything you bring to the table. That way, if a particular hiring manager is looking for a certain capability, you’re more likely to tap on what they’re after.

How to Highlight Problem-Solving Skills for Job Search

At this point, it’s ridiculously clear that problem-solving skills are valuable in the eyes of hiring managers. So, how do you show them that you’ve got all of the capabilities they are after? By using the right approach.

When you’re writing your resume or cover letter , your best bet is to highlight achievements that let you put your problem-solving skills to work. That way, you can “show” the hiring manager you have what it takes.

Showing is always better than telling. Anyone can write down, “I have awesome problem-solving skills.” The thing is, that doesn’t really prove that you do. With a great example, you offer up some context, and that makes a difference.

How do you decide on which skills to highlight on your resume or cover letter? By having a great strategy. With the Tailoring Method , it’s all about relevancy. The technique helps you identify skills that matter to that particular hiring manager, allowing you to speak directly to their needs.

Plus, you can use the Tailoring Method when you answer job interview questions . With that approach, you’re making sure those responses are on-point, too.

But when do you talk about your problem-solving capabilities during an interview? Well, there’s a good chance you’ll get asked problem-solving interview questions during your meeting. Take a look at those to see the kinds of questions that are perfect for mentioning these skills.

However, you don’t have to stop there. If you’re asked about your greatest achievement or your strengths, those could be opportunities, too. Nearly any open-ended question could be the right time to discuss those skills, so keep that in mind as you practice for your interview.

How to Develop Problem-Solving Skills If You Don’t Have Them

Developing problem-solving skills may seem a bit tricky on the surface, especially if you think you don’t have them. The thing is, it doesn’t actually have to be hard. You simply need to use the right strategy.

First, understand that you probably do have problem-solving skills; you simply may not have realized it. After all, life is full of challenges that you have to tackle, so there’s a good chance you’ve developed some abilities along the way.

Now, let’s reframe the question and focus on how to improve your problem-solving skills. Here’s how to go about it.

Understand the Problem-Solving Process

In many cases, problem-solving is all about the process. You:

• Identify the problem
• Analyze the key elements
• Look for potential solutions
• Examine the options for viability and risk
• Decide on an approach
• Review the outcome for lessons

By understanding the core process, you can apply it more effectively. That way, when you encounter an issue, you’ll know how to approach it, increasing the odds you’ll handle the situation effectively.

Try Puzzles and Games

Any activity that lets you take the steps listed above could help you hone your problem-solving skills. For example, brainteasers, puzzles, and logic-based games can be great places to start.

Whether it’s something as straightforward – but nonetheless challenging – as Sudoku or a Rubik’s Cube, or something as complex as Settlers of Catan, it puts your problem-solving skills to work. Plus, if you enjoy the activity, it makes skill-building fun, making it a win-win.

Look for Daily Opportunities

If you’re looking for a practical approach, you’re in luck. You can also look at the various challenges you face during the day and think about how to overcome them.

For example, if you always experience a mid-day energy slump that hurts your productivity, take a deep dive into that problem. Define what’s happening, think about why it occurs, consider various solutions, pick one to try, and analyze the results.

By using the problem-solving approach more often in your life, you’ll develop those skills further and make using these capabilities a habit. Plus, you may find ways to improve your day-to-day living, which is a nice bonus.

Volunteer for “Stretch” Projects

If you’re currently employed, volunteering for projects that push you slightly outside of your comfort zone can help you develop problem-solving skills, too. You’ll encounter the unknown and have to think outside of the box, both of which can boost critical problem-solving-related skills.

Plus, you may gain other capabilities along the way, like experience with new technologies or tools. That makes the project an even bigger career booster, which is pretty awesome.

List of Problem-Solving Skills

Alright, we’ve taken a pretty deep dive into what problem-solving skills are. Now, it’s time for some problem-solving skills examples.

As we mentioned above, there are a ton of capabilities and traits that can support better problem-solving. By understanding what they are, you can showcase the right abilities during your job search.

So, without further ado, here is a quick list of problem-solving skill examples:

• Collaboration
• Organization
• Decision-Making
• Troubleshooting
• Self-Reliance
• Self-Motivation
• Communication
• Attention to Detail
• Brainstorming
• Forecasting
• Active Listening
• Accountability
• Open-Mindedness
• Critical Thinking
• Flexibility

Do you have to showcase all of those skills during your job search individually? No, not necessarily. Instead, you want to highlight a range of capabilities based on what the hiring manager is after. If you’re using the Tailoring Method, you’ll know which ones need to make their way into your resume, cover letter, and interview answers.

Now, are there other skills that support problem-solving? Yes, there certainly can be.

Essentially any skill that helps you go from the problem to the solution can, in its own right, be a problem-solving skill.

All of the skills above can be part of the equation. But, if you have another capability that helps you flourish when you encounter an obstacle, it can count, too.

Reflect on your past experience and consider how you’ve navigated challenges in the past. If a particular skill helped you do that, then it’s worth highlighting during a job search.

If you would like to find out more about skills to put on a resume , we’ve taken a close look at the topic before. Along with problem-solving skills, we dig into a variety of other areas, helping you choose what to highlight so that you can increase your odds of landing your perfect job.

Putting It All Together

Ultimately, problem-solving skills are essential for professionals in any kind of field. By honing your capabilities and showcasing them during your job search, you can become a stronger candidate and employee. In the end, that’s all good stuff, making it easier for you to keep your career on track today, tomorrow, and well into the future.

Co-Founder and CEO of TheInterviewGuys.com. Mike is a job interview and career expert and the head writer at TheInterviewGuys.com.

His advice and insights have been shared and featured by publications such as Forbes , Entrepreneur , CNBC and more as well as educational institutions such as the University of Michigan , Penn State , Northeastern and others.

Learn more about The Interview Guys on our About Us page .

About The Author

Mike simpson.

Co-Founder and CEO of TheInterviewGuys.com. Mike is a job interview and career expert and the head writer at TheInterviewGuys.com. His advice and insights have been shared and featured by publications such as Forbes , Entrepreneur , CNBC and more as well as educational institutions such as the University of Michigan , Penn State , Northeastern and others. Learn more about The Interview Guys on our About Us page .

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What Are Problem-Solving Skills? Definition and Examples

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Why do employers hire employees? To help them solve problems. Whether you’re a financial analyst deciding where to invest your firm’s money, or a marketer trying to figure out which channel to direct your efforts, companies hire people to help them find solutions. Problem-solving is an essential and marketable soft skill in the workplace. 

So, how can you improve your problem-solving and show employers you have this valuable skill? In this guide, we’ll cover:

Problem-Solving Skills Definition

Why are problem-solving skills important, problem-solving skills examples, how to include problem-solving skills in a job application, how to improve problem-solving skills, problem-solving: the bottom line.

Problem-solving skills are the ability to identify problems, brainstorm and analyze answers, and implement the best solutions. An employee with good problem-solving skills is both a self-starter and a collaborative teammate; they are proactive in understanding the root of a problem and work with others to consider a wide range of solutions before deciding how to move forward. 

Examples of using problem-solving skills in the workplace include:

• Researching patterns to understand why revenue decreased last quarter
• Experimenting with a new marketing channel to increase website sign-ups
• Brainstorming content types to share with potential customers
• Testing calls to action to see which ones drive the most product sales
• Implementing a new workflow to automate a team process and increase productivity

Problem-solving skills are the most sought-after soft skill of 2022. In fact, 86% of employers look for problem-solving skills on student resumes, according to the National Association of Colleges and Employers Job Outlook 2022 survey . 

It’s unsurprising why employers are looking for this skill: companies will always need people to help them find solutions to their problems. Someone proactive and successful at problem-solving is valuable to any team.

“Employers are looking for employees who can make decisions independently, especially with the prevalence of remote/hybrid work and the need to communicate asynchronously,” Eric Mochnacz, senior HR consultant at Red Clover, says. “Employers want to see individuals who can make well-informed decisions that mitigate risk, and they can do so without suffering from analysis paralysis.”

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Problem-solving includes three main parts: identifying the problem, analyzing possible solutions, and deciding on the best course of action.

>>MORE: Discover the right career for you based on your skills with a career aptitude test .

Research is the first step of problem-solving because it helps you understand the context of a problem. Researching a problem enables you to learn why the problem is happening. For example, is revenue down because of a new sales tactic? Or because of seasonality? Is there a problem with who the sales team is reaching out to? 

Research broadens your scope to all possible reasons why the problem could be happening. Then once you figure it out, it helps you narrow your scope to start solving it. 

Analysis is the next step of problem-solving. Now that you’ve identified the problem, analytical skills help you look at what potential solutions there might be.

“The goal of analysis isn’t to solve a problem, actually — it’s to better understand it because that’s where the real solution will be found,” Gretchen Skalka, owner of Career Insights Consulting, says. “Looking at a problem through the lens of impartiality is the only way to get a true understanding of it from all angles.”

Decision-Making

Once you’ve figured out where the problem is coming from and what solutions are, it’s time to decide on the best way to go forth. Decision-making skills help you determine what resources are available, what a feasible action plan entails, and what solution is likely to lead to success.

On a Resume

Employers looking for problem-solving skills might include the word “problem-solving” or other synonyms like “ critical thinking ” or “analytical skills” in the job description.

“I would add ‘buzzwords’ you can find from the job descriptions or LinkedIn endorsements section to filter into your resume to comply with the ATS,” Matthew Warzel, CPRW resume writer, advises. Warzel recommends including these skills on your resume but warns to “leave the soft skills as adjectives in the summary section. That is the only place soft skills should be mentioned.”

On the other hand, you can list hard skills separately in a skills section on your resume .

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In a Cover Letter or an Interview

Explaining your problem-solving skills in an interview can seem daunting. You’re required to expand on your process — how you identified a problem, analyzed potential solutions, and made a choice. As long as you can explain your approach, it’s okay if that solution didn’t come from a professional work experience.

“Young professionals shortchange themselves by thinking only paid-for solutions matter to employers,” Skalka says. “People at the genesis of their careers don’t have a wealth of professional experience to pull from, but they do have relevant experience to share.”

Aaron Case, career counselor and CPRW at Resume Genius, agrees and encourages early professionals to share this skill. “If you don’t have any relevant work experience yet, you can still highlight your problem-solving skills in your cover letter,” he says. “Just showcase examples of problems you solved while completing your degree, working at internships, or volunteering. You can even pull examples from completely unrelated part-time jobs, as long as you make it clear how your problem-solving ability transfers to your new line of work.”

Learn How to Identify Problems

Problem-solving doesn’t just require finding solutions to problems that are already there. It’s also about being proactive when something isn’t working as you hoped it would. Practice questioning and getting curious about processes and activities in your everyday life. What could you improve? What would you do if you had more resources for this process? If you had fewer? Challenge yourself to challenge the world around you.

Think Digitally

“Employers in the modern workplace value digital problem-solving skills, like being able to find a technology solution to a traditional issue,” Case says. “For example, when I first started working as a marketing writer, my department didn’t have the budget to hire a professional voice actor for marketing video voiceovers. But I found a perfect solution to the problem with an AI voiceover service that cost a fraction of the price of an actor.”

Being comfortable with new technology — even ones you haven’t used before — is a valuable skill in an increasingly hybrid and remote world. Don’t be afraid to research new and innovative technologies to help automate processes or find a more efficient technological solution.

Collaborate

Problem-solving isn’t done in a silo, and it shouldn’t be. Use your collaboration skills to gather multiple perspectives, help eliminate bias, and listen to alternative solutions. Ask others where they think the problem is coming from and what solutions would help them with your workflow. From there, try to compromise on a solution that can benefit everyone.

If we’ve learned anything from the past few years, it’s that the world of work is constantly changing — which means it’s crucial to know how to adapt . Be comfortable narrowing down a solution, then changing your direction when a colleague provides a new piece of information. Challenge yourself to get out of your comfort zone, whether with your personal routine or trying a new system at work.

Put Yourself in the Middle of Tough Moments

Just like adapting requires you to challenge your routine and tradition, good problem-solving requires you to put yourself in challenging situations — especially ones where you don’t have relevant experience or expertise to find a solution. Because you won’t know how to tackle the problem, you’ll learn new problem-solving skills and how to navigate new challenges. Ask your manager or a peer if you can help them work on a complicated problem, and be proactive about asking them questions along the way.

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Companies always need people to help them find solutions — especially proactive employees who have practical analytical skills and can collaborate to decide the best way to move forward. Whether or not you have experience solving problems in a professional workplace, illustrate your problem-solving skills by describing your research, analysis, and decision-making process — and make it clear that you’re the solution to the employer’s current problems. 

Image Credit: Christina Morillo / Pexels 

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Problem Solving

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Problem solving is a crucial skill in both personal and professional settings. Whether it’s addressing a personal challenge or drafting a business problem solving proposal , the ability to identify a problem and develop a solution is essential. Writing a problem solving essay helps articulate the issue clearly and systematically outline potential solutions. Effective problem and solution involves critical thinking, creativity, and a structured approach to overcome obstacles and achieve goals.

What is Problem Solving?

Problem solving is the process of identifying a challenge, analyzing its components, and finding an effective solution. It involves critical thinking, creativity, and the application of various techniques and tools.

Examples of Problem Solving

• Analytical Thinking : Breaking down complex problems into manageable parts.
• Creativity : Developing innovative solutions to problems.
• Critical Thinking : Evaluating information and arguments to make a reasoned decision.
• Decision-Making : Choosing the best course of action from various alternatives.
• Research : Gathering relevant information to understand and solve a problem.
• Communication : Clearly conveying ideas and solutions to others.
• Collaboration : Working effectively with others to solve problems.
• Time Management : Prioritizing tasks to efficiently address problems.
• Adaptability : Adjusting strategies as new information or challenges arise.
• Attention to Detail : Ensuring all aspects of a problem are considered.
• Logical Reasoning : Using logic to identify solutions and predict outcomes.
• Empathy : Understanding others’ perspectives to create more effective solutions.
• Negotiation : Finding mutually acceptable solutions through discussion.
• Conflict Resolution : Addressing and resolving disagreements.
• Patience : Remaining calm and persistent when solving complex problems.
• Organization : Structuring tasks and information systematically.
• Leadership : Guiding and motivating a team to solve problems.
• Decision Analysis : Evaluating the potential impact of different solutions.
• Project Management : Planning and executing solutions effectively.
• Technical Skills : Using specialized knowledge to solve technical problems.
• Customer Service : Resolving customer issues effectively and efficiently.
• Risk Management : Identifying and mitigating potential problems.
• Innovation : Implementing new ideas to solve existing problems.
• Strategic Planning : Developing long-term solutions and plans.
• Resourcefulness : Finding quick and clever ways to overcome difficulties.
• Stress Management : Handling pressure while solving problems.
• Observation : Noticing subtle details that could be key to solving a problem.
• Data Analysis : Interpreting data to inform problem-solving decisions.
• Flexibility : Being open to new approaches and changing plans when necessary.
• Self-Assessment : Reflecting on your own problem-solving process to improve future performance.

Problem-Solving Examples for Students

1. math word problems.

Problem: Jane has 3 apples, and she buys 4 more apples from the store. How many apples does she have now?

• Understand the problem: Jane starts with 3 apples and buys 4 more.
• Break it down: 3 apples (initial) + 4 apples (additional).
• Solve: 3 + 4 = 7.
• Answer: Jane has 7 apples.

2. Group Project Coordination

Problem: A group of students needs to complete a science project, but they are having trouble coordinating their schedules.

• Understand the problem: The main issue is scheduling conflicts.
• Break it down: Identify each member’s available times.
• Research: Use tools like Doodle or Google Calendar to find common free times.
• Brainstorm solutions: Propose meeting during lunch breaks or weekends.
• Evaluate: Choose the most convenient and feasible option for everyone.
• Develop an action plan: Set a recurring meeting time and delegate tasks.
• Implement: Start meeting and working on the project according to the plan.
• Monitor and review: Adjust schedules if conflicts arise and keep track of progress.

3. Essay Writing

Problem: A student struggles to start writing an essay on a given topic.

• Understand the problem: The difficulty is starting the essay.
• Break it down: Identify the essay topic, main points, and required structure.
• Research: Gather information and resources related to the topic.
• Brainstorm solutions: Create an outline, jot down ideas, and decide on the thesis statement.
• Evaluate: Choose the most compelling points and organize them logically.
• Develop an action plan: Write a draft based on the outline, then revise and edit.
• Implement: Begin writing the introduction, followed by the body paragraphs and conclusion.
• Monitor and review: Proofread the essay and make necessary corrections.

4. Time Management

Problem: A student has trouble managing time between homework, extracurricular activities, and leisure.

• Understand the problem: The issue is balancing multiple responsibilities.
• Break it down: Identify all tasks and time commitments.
• Research: Look for time management techniques and tools.
• Brainstorm solutions: Use planners, to-do lists, or apps like Trello or Todoist.
• Evaluate: Choose the most effective tool and technique.
• Develop an action plan: Create a weekly schedule, prioritizing tasks by importance and deadlines.
• Implement: Follow the schedule and adjust as necessary.
• Monitor and review: Reflect on the effectiveness of the schedule and make improvements.

5. Conflict Resolution

Problem: Two students have a disagreement over a shared locker space.

• Understand the problem: The conflict is about sharing limited space.
• Break it down: Identify each student’s concerns and needs.
• Research: Look into conflict resolution strategies.
• Brainstorm solutions: Propose solutions like dividing the locker into specific sections or creating a rotation schedule.
• Evaluate: Choose the fairest and most practical solution.
• Develop an action plan: Agree on the solution and set guidelines.
• Implement: Follow the agreed plan and make adjustments if needed.
• Monitor and review: Ensure both students are satisfied with the arrangement and resolve any further issues.

Problem-Solving Examples in Real-life

Example 1: workplace conflict.

Situation : Two team members have a disagreement that affects their productivity.

• Identify the Problem : Understand the root cause of the conflict.
• Analyze : Talk to both parties separately to get their perspectives.
• Generate Solutions : Consider solutions like mediation, reassignment of tasks, or team-building exercises.
• Evaluate : Assess which solution is likely to resolve the conflict without affecting team morale.
• Implement : Arrange a mediation session.
• Review : Follow up to ensure the conflict is resolved and monitor team dynamics.

Example 2: Personal Finance Management

Situation : Struggling to manage monthly expenses and savings.

• Identify the Problem : Determine specific areas where overspending occurs.
• Analyze : Review bank statements and categorize expenses.
• Generate Solutions : Create a budget, reduce unnecessary expenses, and set savings goals.
• Evaluate : Choose a budgeting method that fits your lifestyle.
• Implement : Start tracking expenses and adjust spending habits.
• Review : Regularly review your budget and savings to ensure you are on track.

How to Improve Your Problem-Solving Skills?

Understand the Problem: Before attempting to solve any problem, it’s crucial to fully understand it. Read through the problem statement carefully and make sure you grasp every detail.

Break It Down : Divide the problem into smaller, more manageable parts. This approach, known as decomposition, makes it easier to tackle complex issues by focusing on individual components one at a time.

Research and Gather Information : Collect all relevant information and data that might help in solving the problem. Look for similar problems and their solutions.

Brainstorm Possible Solutions : Generate as many potential solutions as possible. Don’t worry about evaluating them at this stage; the goal is to think creatively and come up with a wide range of ideas.

Evaluate and Select the Best Solution : Assess the feasibility, pros, and cons of each potential solution. Consider factors such as resources, time, and potential risks. Choose the solution that best addresses the problem and is most practical.

Develop an Action Plan : Create a detailed plan for implementing your chosen solution. Outline the steps you need to take, assign tasks if working in a team, and set deadlines to ensure timely progress.

Implement the Solution : Put your plan into action. Stay focused and be prepared to adapt if necessary. Keep track of your progress and make adjustments as needed.

Monitor and Review : After implementing the solution, monitor the results to ensure the problem is resolved. Evaluate the outcome and review the process to learn from any mistakes or successes.

Problem-solving in workplace

• Enhancing Efficiency : Quick and effective problem resolution can streamline processes and reduce downtime.
• Boosting Productivity : Employees who can solve problems independently help maintain workflow and productivity.
• Improving Customer Satisfaction : Solving customer issues promptly can lead to higher satisfaction and loyalty.
• Fostering Innovation : Problem-solving often leads to new ideas and improvements that drive innovation.
• Promoting Employee Development : Encouraging problem-solving helps employees grow and develop their skills.

How To Highlight Problem-Solving Skills?

1. on your resume.

When listing problem-solving skills on your resume, provide concrete examples. Use action verbs and quantify your achievements where possible.

• Resolved a customer service issue that increased customer satisfaction by 20%.
• Developed a new process that reduced production errors by 15%.

2. In a Cover Letter

Your cover letter is a great place to elaborate on your problem-solving abilities. Describe a specific situation where you successfully addressed a challenge.

“In my previous role at XYZ Company, I identified a bottleneck in our production line. I conducted a thorough analysis and implemented a new workflow, which reduced production time by 25% and saved the company $50,000 annually.”

3. During an Interview

Be prepared to discuss your problem-solving skills in depth during an interview. Use the STAR (Situation, Task, Action, Result) method to structure your responses.

Example: “Can you give an example of a time when you solved a difficult problem at work?”

• Situation: Our sales team was struggling with declining numbers.
• Task: I was tasked with identifying the root cause and finding a solution.
• Action: I analyzed sales data, conducted team meetings, and identified a lack of training as the main issue.
• Result: I organized comprehensive training sessions, which led to a 30% increase in sales over the next quarter.

4. On Social Media and Professional Profiles

Highlight problem-solving skills on LinkedIn and other professional profiles. Share posts or articles about your problem-solving experiences and successes.

“I’m thrilled to share that I recently led a project to overhaul our customer service protocol, resulting in a 40% reduction in response time and a significant boost in customer satisfaction!”

5. In Performance Reviews

During performance reviews, make sure to emphasize your problem-solving contributions. Provide specific examples and outcomes.

“In the past year, I resolved three major project roadblocks, enabling our team to meet all deadlines and exceed our performance goals.”

6. Through Projects and Case Studies

If applicable, create case studies or detailed project descriptions that showcase your problem-solving process and results. This can be particularly useful for portfolios or presentations.

Case Study: Improving IT System Efficiency

• Problem: Frequent system downtimes affecting productivity.
• Solution: Implemented a new monitoring system and revised maintenance schedules.
• Outcome: System downtimes were reduced by 50%, significantly improving productivity.

7. By Demonstrating Soft Skills

Problem-solving often involves other soft skills such as communication, creativity, and teamwork. Highlighting these related skills can further emphasize your ability to solve problems effectively.

“By fostering open communication within my team and encouraging creative brainstorming sessions, we were able to devise innovative solutions to our most pressing challenges.”

How to Answer Problem-Solving Interview Questions

• Understand the Question : Make sure you fully understand the problem before you try to solve it. Ask clarifying questions if needed to ensure you have all the relevant information.
• Think Aloud : Demonstrate your thinking process by explaining your thoughts as you work through the problem. This shows your interviewer how you approach problems and organize your thoughts.
• Break It Down : Divide the problem into smaller, manageable parts. This can make a complex issue seem more approachable and allows you to tackle each component systematically.
• Use a Structured Approach : Employ frameworks or methodologies that are relevant to the question. For example, you might use the STAR method (Situation, Task, Action, Result) for behavioral questions, or a simple problem-solving framework like Define, Measure, Analyze, Improve, Control (DMAIC) for process improvements.
• Be Creative : Employers often look for creativity in your answers. Think outside the box and propose innovative solutions when appropriate.
• Prioritize Solutions : If there are multiple potential solutions, discuss the pros and cons of each and explain why you would choose one over the others.
• Stay Calm and Positive : Problem-solving under pressure is part of the test. Maintain a calm and positive demeanor, showing that you can handle stress effectively.
• Summarize Your Steps : After you have worked through the problem, summarize the steps you took and the conclusion you reached. This helps ensure the interviewer followed your process and underscores your methodical approach.
• Ask for Feedback : After presenting your solution, it can be beneficial to ask if there are any additional factors you might consider. This shows openness to learning and adapting.
• Practice Regularly : Like any skill, problem-solving improves with practice. Regularly engage in brain teasers, logic puzzles, or case studies to sharpen your skills.

Why Are Problem-Solving is Important?

• Effective Decision-Making : Problem-solving is essential for making decisions that are logical, informed, and well-considered. This skill helps individuals and organizations make choices that lead to better outcomes.
• Innovation and Improvement : Solving problems effectively often requires innovative thinking. This can lead to new ideas and improvements in processes, products, and services, which are essential for business growth and adaptation.
• Handling Complex Situations : Many roles involve complex situations that are not straightforward to manage. Problem-solving skills enable individuals to dissect these situations and devise effective strategies to deal with them.
• Enhances Productivity : Efficient problem-solving contributes to higher productivity, as it allows for the identification and removal of obstacles that impede workflow and performance.
• Career Advancement : Individuals who are effective problem solvers are often seen as leaders and can advance more quickly in their careers. This skill is valuable because it demonstrates the ability to handle difficult situations and complex challenges.
• Adaptability and Resilience : Problem-solving is key to adapting to new situations and overcoming challenges. Those who can creatively navigate through difficulties are generally more resilient.
• Quality of Life : On a personal level, strong problem-solving skills can improve one’s quality of life by enabling better management of the challenges that come with daily living.
• Team Collaboration : Problem-solving often requires collaboration. Being good at solving problems can improve your ability to work with others, as it involves communication, persuasion, and negotiation skills.

How to Include Problem-Solving in a Job Application

• Resume : Detail specific problem-solving instances in your job descriptions using action verbs like “analyzed” and “implemented”. Mention the positive outcomes achieved.
• Cover Letter : Narrate a specific instance where your problem-solving skills led to a successful outcome, demonstrating initiative and effectiveness.
• Skills Section : Include “problem-solving” in a skills section if the job ad specifically mentions it.
• Quantify Achievements : Use numbers to describe the impact of your solutions, such as cost savings or efficiency improvements.
• Job Interviews : Prepare to discuss specific examples of your problem-solving skills, focusing on the challenge, your action, and the result.
• References : Brief your references about your problem-solving achievements so they can provide specific examples when contacted by employers.

Tips for Enhancing Problem-Solving

• Practice Regularly: Like any skill, problem-solving improves with regular practice. Engage in activities that challenge your thinking, such as puzzles, games, or real-world problem-solving scenarios.
• Learn from Others: Study how others approach and solve problems. This can provide new strategies and perspectives that you can incorporate into your own problem-solving toolkit.
• Stay Calm and Positive: Maintaining a calm and positive mindset can significantly improve your ability to solve problems. Stress and negativity can cloud your judgment and hinder creative thinking.
• Develop Critical Thinking: Sharpen your critical thinking skills by questioning assumptions, analyzing information, and evaluating evidence. This will help you make more informed and logical decisions.
• Collaborate with Others: Working with others can bring new insights and ideas. Collaboration can also help you see the problem from different angles and develop more effective solutions.
• Keep Learning: Continuously expand your knowledge and skills. The more you know, the better equipped you are to tackle a variety of problems.

How can I improve my problem-solving skills?

Practice regularly, learn various problem-solving techniques, and engage in activities that challenge your thinking.

What are common problem-solving techniques?

Common techniques include brainstorming, root cause analysis, the 5 Whys, and SWOT analysis.

What are the steps in the problem-solving process?

Identify the problem, analyze the problem, generate solutions, select a solution, implement, and evaluate.

How do I demonstrate problem-solving skills in an interview?

Discuss specific situations where you effectively solved problems, highlighting your thought process and outcomes.

What’s the difference between critical thinking and problem-solving?

Critical thinking involves analyzing and evaluating information, while problem-solving focuses on finding solutions to problems.

How do problem-solving skills help in leadership?

They enable leaders to manage challenges effectively, inspire innovation, and guide teams through obstacles.

How to measure problem-solving skills?

Assess through scenarios or challenges that require identifying, analyzing, and resolving problems.

What role does creativity play in problem-solving?

Creativity enables out-of-the-box thinking, which can lead to innovative and effective solutions.

How do you use problem-solving in project management?

Apply it to anticipate potential issues, plan solutions, and ensure smooth project execution.

What’s an example of a problem-solving situation?

Resolving customer complaints by identifying the issue, brainstorming solutions, and implementing changes to prevent future complaints.

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Overview of the Problem-Solving Mental Process

• Identify the Problem
• Define the Problem
• Form a Strategy
• Organize Information
• Allocate Resources
• Monitor Progress
• Evaluate the Results

Frequently Asked Questions

Problem-solving is a mental process that involves discovering, analyzing, and solving problems. The ultimate goal of problem-solving is to overcome obstacles and find a solution that best resolves the issue.

The best strategy for solving a problem depends largely on the unique situation. In some cases, people are better off learning everything they can about the issue and then using factual knowledge to come up with a solution. In other instances, creativity and insight are the best options.

It is not necessary to follow problem-solving steps sequentially, It is common to skip steps or even go back through steps multiple times until the desired solution is reached.

In order to correctly solve a problem, it is often important to follow a series of steps. Researchers sometimes refer to this as the problem-solving cycle. While this cycle is portrayed sequentially, people rarely follow a rigid series of steps to find a solution.

The following steps include developing strategies and organizing knowledge.

1. Identifying the Problem

While it may seem like an obvious step, identifying the problem is not always as simple as it sounds. In some cases, people might mistakenly identify the wrong source of a problem, which will make attempts to solve it inefficient or even useless.

Some strategies that you might use to figure out the source of a problem include :

• Asking questions about the problem
• Breaking the problem down into smaller pieces
• Looking at the problem from different perspectives
• Conducting research to figure out what relationships exist between different variables

2. Defining the Problem

After the problem has been identified, it is important to fully define the problem so that it can be solved. You can define a problem by operationally defining each aspect of the problem and setting goals for what aspects of the problem you will address

At this point, you should focus on figuring out which aspects of the problems are facts and which are opinions. State the problem clearly and identify the scope of the solution.

3. Forming a Strategy

After the problem has been identified, it is time to start brainstorming potential solutions. This step usually involves generating as many ideas as possible without judging their quality. Once several possibilities have been generated, they can be evaluated and narrowed down.

The next step is to develop a strategy to solve the problem. The approach used will vary depending upon the situation and the individual's unique preferences. Common problem-solving strategies include heuristics and algorithms.

• Heuristics are mental shortcuts that are often based on solutions that have worked in the past. They can work well if the problem is similar to something you have encountered before and are often the best choice if you need a fast solution.
• Algorithms are step-by-step strategies that are guaranteed to produce a correct result. While this approach is great for accuracy, it can also consume time and resources.

Heuristics are often best used when time is of the essence, while algorithms are a better choice when a decision needs to be as accurate as possible.

4. Organizing Information

Before coming up with a solution, you need to first organize the available information. What do you know about the problem? What do you not know? The more information that is available the better prepared you will be to come up with an accurate solution.

When approaching a problem, it is important to make sure that you have all the data you need. Making a decision without adequate information can lead to biased or inaccurate results.

5. Allocating Resources

Of course, we don't always have unlimited money, time, and other resources to solve a problem. Before you begin to solve a problem, you need to determine how high priority it is.

If it is an important problem, it is probably worth allocating more resources to solving it. If, however, it is a fairly unimportant problem, then you do not want to spend too much of your available resources on coming up with a solution.

At this stage, it is important to consider all of the factors that might affect the problem at hand. This includes looking at the available resources, deadlines that need to be met, and any possible risks involved in each solution. After careful evaluation, a decision can be made about which solution to pursue.

6. Monitoring Progress

After selecting a problem-solving strategy, it is time to put the plan into action and see if it works. This step might involve trying out different solutions to see which one is the most effective.

It is also important to monitor the situation after implementing a solution to ensure that the problem has been solved and that no new problems have arisen as a result of the proposed solution.

Effective problem-solvers tend to monitor their progress as they work towards a solution. If they are not making good progress toward reaching their goal, they will reevaluate their approach or look for new strategies .

7. Evaluating the Results

After a solution has been reached, it is important to evaluate the results to determine if it is the best possible solution to the problem. This evaluation might be immediate, such as checking the results of a math problem to ensure the answer is correct, or it can be delayed, such as evaluating the success of a therapy program after several months of treatment.

Once a problem has been solved, it is important to take some time to reflect on the process that was used and evaluate the results. This will help you to improve your problem-solving skills and become more efficient at solving future problems.

A Word From Verywell​

It is important to remember that there are many different problem-solving processes with different steps, and this is just one example. Problem-solving in real-world situations requires a great deal of resourcefulness, flexibility, resilience, and continuous interaction with the environment.

Get Advice From The Verywell Mind Podcast

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You can become a better problem solving by:

• Practicing brainstorming and coming up with multiple potential solutions to problems
• Being open-minded and considering all possible options before making a decision
• Breaking down problems into smaller, more manageable pieces
• Asking for help when needed
• Researching different problem-solving techniques and trying out new ones
• Learning from mistakes and using them as opportunities to grow

It's important to communicate openly and honestly with your partner about what's going on. Try to see things from their perspective as well as your own. Work together to find a resolution that works for both of you. Be willing to compromise and accept that there may not be a perfect solution.

Take breaks if things are getting too heated, and come back to the problem when you feel calm and collected. Don't try to fix every problem on your own—consider asking a therapist or counselor for help and insight.

If you've tried everything and there doesn't seem to be a way to fix the problem, you may have to learn to accept it. This can be difficult, but try to focus on the positive aspects of your life and remember that every situation is temporary. Don't dwell on what's going wrong—instead, think about what's going right. Find support by talking to friends or family. Seek professional help if you're having trouble coping.

Davidson JE, Sternberg RJ, editors.  The Psychology of Problem Solving .  Cambridge University Press; 2003. doi:10.1017/CBO9780511615771

Sarathy V. Real world problem-solving .  Front Hum Neurosci . 2018;12:261. Published 2018 Jun 26. doi:10.3389/fnhum.2018.00261

By Kendra Cherry, MSEd Kendra Cherry, MS, is a psychosocial rehabilitation specialist, psychology educator, and author of the "Everything Psychology Book."

Problem-solving skills and how to improve them (with examples)

What’s life without its challenges? All of us will at some point encounter professional and personal hurdles. That might mean resolving a conflict with coworkers or making a big life decision. With effective problem solving skills, you’ll find tricky situations easier to navigate, and welcome challenges as opportunities to learn, grow and thrive. 

In this guide, we dive into the importance of problem solving skills and look at examples that show how relevant they are to different areas of your life. We cover how to find creative solutions and implement them, as well as ways to refine your skills in communication and critical thinking. Ready to start solving problems? Read on.

What is problem solving? 

Before we cover strategies for improving problem solving skills, it’s important to first have a clear understanding of the problem solving process. Here are the steps in solving a problem:

• Recognise the issue you are facing 
• Take a look at all the information to gain insights
• Come up with solutions
• Look at the pros and cons of each solution and how it might play out
• Plan, organise and implement your solution
• Continuously assess the effectiveness of the solution and make adjustments as needed

Problem solving skills

There’s more to problem solving than coming up with a quick fix. Effective problem solving requires wide range of skills and abilities, such as:

• Critical thinking: the ability to think logically, analyse information and look at situations from different perspectives.
• Creativity: being able to come up with innovative, out-of-the-box solutions.
• Decision-making:  making informed choices by considering all the available information.
• Communication:  being able to express ideas clearly and effectively.
• Analytical skills: breaking down complex problems into smaller parts and examining each one.
• Time management:  allocating time and resources effectively to address problems.
• Adaptability: being open to change and willing to adjust strategies.
• Conflict resolution:  skillfully managing conflicts and finding solutions that work for all.

Examples of problem solving skills

Problem solving skills in the workplace are invaluable, whether you need them for managing a team, dealing with clients or juggling deadlines. To get a better understanding of how you might use these skills in real-life scenarios, here are some problem solving examples that are common in the workplace.

• Analytical thinking

Analytical thinking is something that comes naturally to some, while others have to work a little harder. It involves being able to look at problem solving from a logical perspective, breaking down the issues into manageable parts. 

Example scenarios of analytical thinking

Quality control: in a manufacturing facility, analytical thinking helps identify the causes of product defects in order to pinpoint solutions.

Market research: marketing teams rely on analytical thinking to examine consumer data, identify market trends and make informed decisions on ad campaigns.

• Critical thinking

Critical thinkers are able to approach problems objectively, looking at different viewpoints without rushing to a decision. Critical thinking is an important aspect of problem solving, helping to uncover biases and assumptions and weigh up the quality of the information before making any decisions. 

Example scenarios of critical thinking

• Strategic planning:  in the boardroom, critical thinking is important for assessing economic trends, competitor threats and more. It guides leaders in making informed decisions about long-term company goals and growth strategies.
• Conflict resolution: HR professionals often use critical thinking when dealing with workplace conflicts. They objectively analyse the issues at hand and find an appropriate solution.

Decision-making

Making decisions is often the hardest part of problem solving. How do you know which solution is the right one? It involves evaluating information, considering potential outcomes and choosing the most suitable option. Effective problem solving relies on making well-informed decisions.

Example scenarios of decision-making

• Budget allocation: financial managers must decide how to allocate resources to various projects or departments. 
• Negotiation:  salespeople and procurement professionals negotiate terms, pricing and agreements with clients, suppliers and partners.

Research skills

Research skills are pivotal when it comes to problem solving, to ensure you have all the information you need to make an informed decision. These skills involve searching for relevant data, critically evaluating information sources, and drawing meaningful conclusions. 

Example scenarios of research skills

• Product development: a tech startup uses research skills to conduct market research to identify gaps and opportunities in the market. 
• Employee engagement:  an HR manager uses research skills to conduct employee surveys and focus groups.

A little creative flair goes a long way. By thinking outside the box, you can approach problems from different angles. Creative thinking involves combining existing knowledge, experiences and perspectives in new and innovative ways to come up with inventive solutions. 

Example scenarios of creativity

• Cost reduction: creative problem solvers within a manufacturing company might look at new ways to reduce production costs by using waste materials.
• Customer experience: a retail chain might look at implementing interactive displays and engaging store layouts to increase customer satisfaction and sales.

Collaboration

It’s not always easy to work with other people, but collaboration is a key element in problem solving, allowing you to make use of different perspectives and areas of expertise to find solutions.

Example scenarios

• Healthcare diagnosis: in a hospital setting, medical professionals collaborate to diagnose complex medical cases.
• Project management: project managers coordinate efforts, allocate resources and address issues that may arise during a project's lifecycle.

Conflict Resolution

Being able to mediate conflicts is a great skill to have. It involves facilitating open communication, understanding different perspectives and finding solutions that work for everyone. Conflict resolution is essential for managing any differences in opinion that arise.

Example scenarios of conflict resolution

• Client dispute: a customer might be dissatisfied with a product or service and demand a refund. The customer service representative addresses the issue through active listening and negotiation to reach a solution.
• Project delay: a project manager might face resistance from team members about a change in project scope and will need to find a middle ground before the project can continue.

Risk management

Risk management is essential across many workplaces. It involves analysing potential threats and opportunities, evaluating their impact and implementing strategies to minimise negative consequences. Risk management is closely tied to problem solving, as it addresses potential obstacles and challenges that may arise during the problem solving process.

Example scenarios of risk management

• Project risk management: in a construction project, risk management involves identifying potential delays, cost overruns and safety hazards. Risk mitigation strategies are developed, such as scheduling buffers and establishing safety protocols. 
• Financial risk management: in financial institutions, risk management assesses and manages risks associated with investments and lending.

Communication

Effective communication is a skill that will get you far in all areas of life. When it comes to problem solving, communication plays an important role in facilitating collaboration, sharing insights and ensuring that all stakeholders have the same expectations. 

Example scenarios of communication

• Customer service improvement:  in a retail environment, open communication channels result in higher customer satisfaction scores.
• Safety enhancement:  in a manufacturing facility, a robust communication strategy that includes safety briefings, incident reporting and employee training helps minimise accidents and injuries.

How to improve problem solving skills 

Ready to improve your problem solving skills? In this section we explore strategies and techniques that will give you a head start in developing better problem solving skills. 

Adopt the problem solving mindset

Developing a problem solving mindset will help you tackle challenges effectively . Start by accepting problems as opportunities for growth and learning, rather than as obstacles or setbacks. This will allow you to approach every challenge with a can-do attitude.

Patience is also essential, because it will allow you to work through the problem and its various solutions mindfully. Persistence is also important, so you can keep adapting your approach until you find the right solution.

Finally, don’t forget to ask questions. What do you need to know? What assumptions are you making? What can you learn from previous attempts? Approach problem solving as an opportunity to  acquire new skills . Stay curious, seek out solutions, explore new possibilities and remain open to different problem solving approaches.

Understand the problem

There’s no point trying to solve a problem you don’t understand. To analyse a problem effectively, you need to be able to define it. This allows you to break it down into smaller parts, making it easier to find causes and potential solutions. Start with a well-defined problem statement that is precise and specific. This will help you focus your efforts on the core issue, so you don’t waste time and resources on the wrong concerns.

Strategies for problem analysis

• Start with the problem statement and ask ‘Why?’ multiple times to dig deeper.
• Gather relevant data and information related to the problem. 
• Include those affected by the problem in the analysis process.
• Compare the current problem with similar situations or cases to gain valuable insights.
• Use simulations to explore potential outcomes of different solutions.
• Continuously gather feedback during the problem solving process. 

Develop critical thinking and creativity skills

Critical thinking and creativity are both important when it comes to looking at the problem objectively and thinking outside the box. Critical thinking encourages you to question assumptions, recognise biases and seek evidence to support your conclusions. Creative thinking allows you to look at the problem from different angles to reveal new insights and opportunities.

Enhance research and decision-making skills

Research and decision-making skills are pivotal in problem solving as they enable you to gather relevant information, analyse options and choose the best course of action. Research provides the information and data needed, and ensures that you have a comprehensive understanding of the problem and its context. Effective decision-making is about selecting the solution that best addresses the problem.

Strategies to improve research and decision-making skills

• Clearly define what you want to achieve through research.
• Use a variety of sources, including books, articles, research papers, interviews, surveys and online databases.
• Evaluate the credibility and reliability of your information sources.
• Incorporate risk assessment into your decision-making process. 
• Seek input from experts, colleagues and mentors when making important decisions. 
• After making decisions, reflect on the outcomes and lessons learned. Use this to improve your decision-making skills over time.

Strengthen collaboration skills

Being able to work with others is one of the most important skills to have at work. Collaboration skills enable everyone to work effectively as a team, share their perspectives and collectively find solutions. 

Tips for improving teamwork and collaboration

• Define people’s roles and responsibilities within the team. 
• Encourage an environment of open communication where team members feel comfortable sharing ideas.
• Practise active listening by giving full attention to others when they speak. 
• Hold regular check-in sessions to monitor progress, discuss challenges and make adjustments as needed.
• Use collaboration tools and platforms to facilitate communication and document progress. 
• Acknowledge and celebrate team achievements and milestones. 

Learn from past experiences

Once you’ve overcome a challenge, take the time to look back with a critical eye. How effective was the outcome? Could you have tweaked anything in your process? Learning from past experiences is important when it comes to problem solving. It involves reflecting on both successes and failures to gain insights, refine strategies and make more informed decisions in the future. 

Strategies for learning from past mistakes

• After completing a problem solving effort, gather your team for a debriefing session. Discuss what went well and what could have been better.
• Conduct a SWOT analysis (Strengths, Weaknesses, Opportunities, Threats) of resolved problems. 
• Evaluate the outcomes of past solutions. Did they achieve the desired results? 
• Commit to continuous learning and improvement. 

Leverage problem solving tools and resources

Problem-solving tools and resources are a great help when it comes to navigating complex challenges. These tools offer structured approaches, methodologies and resources that can streamline the process. 

Tools and resources for problem solving

• Mind mapping:  mind maps visually organise ideas, concepts and their relationships. 
• SWOT (Strengths, Weaknesses, Opportunities, Threats) Analysis:  helps in strategic planning and decision-making.
• Fishbone diagram (Ishikawa Diagram): this tool visually represents the potential root causes of a problem, helping you identify underlying factors contributing to an issue.
• Decision matrices:  these assist in evaluating options by assigning weights and scores to criteria and alternatives.
• Process flowcharts:  these allow you to see the steps of a process in sequence, helping identify where the problem is occuring.
• Decision support software:  software applications and tools, such as data analytics platforms, can help in data-driven decision-making and problem solving.
• Online courses and training: allow you to acquire new skills and knowledge.

Regular practice

Practice makes perfect! Using your skills in real life allows you to refine them, adapt to new challenges and build confidence in your problem solving capabilities. Make sure to try out these skills whenever you can.

Practical problem solving exercises 

• Do puzzles, riddles and brainteasers regularly. 
• Identify real-life challenges or dilemmas you encounter and practice applying problem solving techniques to these situations.
• Analyse case studies or scenarios relevant to your field or industry. 
• Regularly review past problem solving experiences and consider what you learned from them. 
• Attend workshops, webinars or training sessions focused on problem solving. 

How to highlight problem solving skills on a resumé

Effectively showcasing your problem solving skills on your resumé is a great way to demonstrate your ability to address challenges and add value to a workplace. We'll explore how to demonstrate problem solving skills on your resumé, so you stand out from the crowd.

Incorporating problem solving skills in the resumé summary

A resumé summary is your introduction to potential employers and provides an opportunity to succinctly showcase your skills. The resumé summary is often the first section employers read. It offers a snapshot of your qualifications and sets the tone for the rest of your resumé.

Your resumé summary should be customised for different job applications, ensuring that you highlight the specific problem solving skills relevant to the position you’re applying for.

Example 1: Project manager with a proven track record of solving complex operational challenges. Skilled in identifying root causes, developing innovative solutions and leading teams to successful project completion.

Example 2:  Detail-oriented data analyst with strong problem solving skills. Proficient in data-driven decision-making, quantitative analysis and using statistical tools to solve business problems.

Highlighting problem solving skills in the experience section

The experience section of your resumé presents the perfect opportunity to demonstrate your problem solving skills in action. 

• Start with action verbs: begin each bullet point in your job descriptions with strong action verbs such as, analysed, implemented, resolved and optimised.
• Quantify achievements: use numbers and percentages to illustrate the impact of your solutions. For example: Increased efficiency by 25% by implementing a new workflow process.
• Emphasise challenges: describe the specific challenges or problems you faced in your roles. 
• Solution-oriented language: mention the steps you took to find solutions and the outcomes achieved.

Including problem solving skills in the skills section

The skills section of your resumé should showcase your top abilities, including problem solving skills. Here are some tips for including these skills.

• Use a subsection:  within your skills section, you could create a subsection specifically dedicated to problem solving skills – especially if the role calls for these skills.
• Be specific: when listing problem solving skills, be specific about the types of role-related problems you can address. 
• Prioritise relevant skills:  tailor the list of problem solving skills to match the requirements of the job you're applying for. 

Examples of problem solving skills to include:

• Creative problem solving
• Decision making
• Root cause analysis
• Strategic problem solving
• Data-driven problem solving
• Interpersonal conflict resolution
• Adaptability
• Communication skills
• Problem solving tools
• Negotiation skills

Demonstrating problem solving skills in project sections or case studies

Including a dedicated section for projects or case studies in your resumé allows you to provide specific examples of your problem solving skills in action. It goes beyond simply listing skills, to demonstrate how you are able to apply those skills to real-world challenges.

Example – Data Analysis

Case Study: Market Expansion Strategy

• Challenge:  the company was looking to expand into new markets but lacked data on consumer preferences and market dynamics.
• Solution: conducted comprehensive market research, including surveys and competitor analysis. Applied this research to identify target customer segments and developed a data-driven market-entry strategy.
• Result:  successfully launched in two new markets, reaching our target of 30% market share within the first year.

Using problem solving skills in cover letters

A well-crafted cover letter is your first impression on any potential employer. Integrating problem solving skills can support your job application by showcasing your ability to address challenges and contribute effectively to their team. Here’s a quick run-down on what to include:

• Begin your cover letter by briefly mentioning the position you're applying for and your enthusiasm for it.
• Identify a specific challenge or issue that the company may be facing, to demonstrate your research and understanding of their needs.
• Include a brief story or scenario from your past experiences where you successfully applied problem solving skills to address a similar challenge. 
• Highlight the positive outcomes or results achieved through your problem solving efforts. 
• Explain how your skills make you the ideal person to address their specific challenges.

Problem solving skills are essential in all areas of life, enabling you to overcome challenges, make informed decisions, settle conflicts and drive innovation. We've explored the significance of problem solving skills and how to improve, demonstrate and leverage them effectively. It’s an ever-evolving skill set that can be refined over time. 

By actively incorporating problem solving skills into your day-to-day, you can become a more effective problem solver at work and in your personal life as well.

What are some common problem solving techniques?

Common problem solving techniques include brainstorming, root cause analysis, SWOT analysis, decision matrices, the scientific method and the PDCA (Plan-Do-Check-Act) cycle. These techniques offer structured approaches to identify, analyse and address problems effectively.

How can I improve my critical thinking skills?

Improving critical thinking involves practising skills such as analysis, evaluation and problem solving. It helps to engage in activities like reading, solving puzzles, debating and self-reflection.

What are some common obstacles to problem solving?

Common obstacles to problem solving include biases, lack of information or resources, and resistance to change. Recognising and addressing these obstacles is essential for effective problem solving.

How can I overcome resistance to change when implementing a solution?

To overcome resistance to change, it's essential to communicate the benefits of the proposed solution clearly, involve stakeholders in the decision-making process, address concerns and monitor the implementation's progress to demonstrate its effectiveness.

How can problem solving skills benefit my career?

Problem solving skills are highly valuable in a career as they enable you to navigate challenges, make informed decisions, adapt to change and contribute to innovation and efficiency. These skills enhance your professional effectiveness and can lead to career advancement and increased job satisfaction.

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10 Everyday uses for Problem Solving Skills

• Problem Solving & Decision Making Real world training delivers real world results. Learn More

Many employers are recognizing the value and placing significant investments in developing the problem solving skills of their employees.  While we often think about these skills in the work context, problem solving isn’t just helpful in the workplace.  Here are 10 everyday uses for problem solving skills that can you may not have thought about

1. Stuck in traffic and late for work, again

With busy schedules and competing demands for your time, getting where you need to be on time can be a real challenge.  When traffic backs up, problem solving skills can help you figure out alternatives to avoid congestion, resolve the immediate situation and develop a solution to avoid encountering the situation in the future.

2. What is that stain on the living room carpet?

Parents, pet owners and spouses face this situation all the time.  The living room carpet was clean yesterday but somehow a mysterious stain has appeared and nobody is claiming it.  In order to clean it effectively, first you need to figure out what it is.  Problem solving can help you track down the culprit, diagnose the cause of the stain and develop an action plan to get your home clean and fresh again.

3. What is that smell coming from my garden shed?

Drawing from past experiences, the seasoned problem solver in you suspects that the source of the peculiar odor likely lurks somewhere within the depths of the shed. Your challenge now lies in uncovering the origin of this scent, managing its effects, and formulating a practical plan to prevent such occurrences in the future.

4. I don’t think the car is supposed to make that thumping noise

As with many problems in the workplace, this may be a situation to bring in problem solving experts in the form of your trusted mechanic.  If that isn’t an option, problem solving skills can be helpful to diagnose and assess the impact of the situation to ensure you can get where you need to be.

5. Creating a budget

Tap into your problem-solving prowess as you embark on the journey of budgeting. Begin by determining what expenses to include in your budget, and strategize how to account for unexpected financial surprises. The challenge lies in crafting a comprehensive budget that not only covers your known expenses but also prepares you for the uncertainties that may arise.

6. My daughter has a science project – due tomorrow

Sometimes the challenge isn’t impact, its urgency.  Problem solving skills can help you quickly assess the situation and develop an action plan to get that science project done and turned in on time.

7. What should I get my spouse for his/her birthday?

As with many problems, this one may not have a “right answer” or apparent solution.  Its time to apply those problem solving skills to evaluate the effects of past decisions combined with current environmental signals and available resources to select the perfect gift to put a smile on your significant other’s face.

8. The office printer suddenly stopped working, and there are important documents that need to be printed urgently.

Uh oh, time to think quickly.  There is an urgent situation that must be addressed to get things back to normal, a cause to be identified (what’s causing the printer issue), and an action plan to resolve it.  Problem solving skills can help you avoid stress and ensure that your documents are printed on time.

9. I’m torn between two cars! Which one should I choose?

In a world brimming with countless choices, employ decision analysis as your trusty tool to navigate the sea of options. Whether you’re selecting a car (or any other product), the challenge is to methodically identify and evaluate the best choices that align with your unique needs and preferences.

10. What’s for dinner?

Whether you are planning to eat alone, with family or entertaining friends and colleagues, meal planning can be a cause of daily stress.  Applying problem solving skills can put the dinner dilemma into perspective and help get the food on the table and keep everyone happy.

Problem Solving skills aren’t just for the workplace – they can be applied in your everyday life.  Kepner-Tregoe can help you and your team develop your problem solving skills through a combination of training and consulting with our problem solving experts.

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5 Examples of Problem-Solving in The Workplace

By Christina Colclough

Last updated: January 12, 2024

When you’re in a job interview, you can almost bet on being asked about your problem-solving experiences. This skill is always high on employers’ wish lists. Walk in with a few solid examples up your sleeve and talk about them with confidence – that’s what grabs their attention.

In this post, I’ll guide you through picking the right problem-solving in workplace examples and articulating them in a way that will make you stand out.

In this article:

What is problem solving.

At its core, this skill is all about spotting issues and then working out the smartest ways to sort them out. In the workplace, this skill keeps things running smoothly because challenges always pop up.

In any job, you’re bound to bump into a range of problems. It could be meeting a tight deadline, handling customer complaints, or resolving misunderstandings among team members. Each of these difficult situations needs a cool head and a clear strategy.

Dealing with these issues well is crucial because it keeps the wheels turning. Effective problem-solving means fewer hiccups in projects, better teamwork, and happier customers. It’s like oiling the cogs of a machine.

That is why interviewers like myself often drill down into the candidates’ problem-solving abilities with questions like “ Tell me about a time you solved a problem ” or “ Can you describe a situation where you had to overcome a significant challenge? “

We want to know if you’re the kind of person who faces challenges head-on or if you tend to sweep them under the rug. We’re looking for someone who not only spots issues but also comes up with smart solutions and puts them into action. It’s all about ensuring that, when the going gets tough, you’ve got the skills to keep things on track.

How to Answer Problem-Solving Interview Questions

When you’re in an interview and asked about problem-solving, it’s a golden opportunity to show your skills. In my experience, a great approach is to use the STAR technique. This strategy helps structure your answer in a clear and compelling way.

Let’s break down what each part of STAR stands for:

• Situation : Describe the context within which you had to solve a problem.
• Task : Explain the actual problem or challenge you were facing.
• Action : Describe the actions you took to address the problem.
• Result : Share the outcomes of your actions.

In this step, your goal is to give the interviewer a snapshot of your scenario.

Let’s say you had to deal with a significant drop in team morale and productivity. At the beginning of your response, you want to set the context for your story. This should include where you were working, your role, and the initial problem.

The key here is to be concise but provide enough detail to paint a clear picture like this:

“In my previous role as a team leader, I noticed a sudden drop in team morale and productivity. This was unusual for our normally energetic and efficient team.”

Common Situations

Here are some other common situations you can mention in your answer:

• Resolving an issue with a difficult client when they complain about a product or service
• Figuring out a solution when equipment or technology breaks down or fails
• Dealing with a mistake you’ve made on an important project
• Handling a tight deadline when unexpected challenges threaten completion
• Settling a dispute between colleagues who aren’t getting along
• Improving productivity for a team that is underperforming
• Persuading colleagues to get on board with an idea they are resistant to

How to Answer With Limited Experience

Don’t worry if you just graduated or have little work experience. Think about examples from school group projects, internships, or part-time jobs like these:

• Coordinating schedules for a group presentation when everyone has different availabilities
• Resolving a disagreement over roles for a big class project
• Finding ways to improve your team’s process when a professor gives feedback
• Managing deadlines and deliverables with classmates who had competing priorities
• Convincing peers to adopt your proposed solution for an assignment
• Addressing complaints from a classmate about unequal workloads

Clarify the problem you had to tackle. What was expected of you? What complex challenge did you need to address? Here, you’re setting up the specific problem that you were tasked with solving.

Remember, the focus is on the problem, not yet on your actions. Using the above example, here is what you can talk about:

“My task was to identify the causes of this decline and implement a strategy to boost morale and productivity. I needed to make sure our team could return to its usual high-performance level.”

Describe the steps you took to solve the problem. Think about how you analyzed the situation, decided on a course of action, and implemented it. It should show your critical thinking and analytical skills.

“To tackle this, I first conducted one-on-one meetings with team members to understand their concerns and gather feedback. Based on these insights, I realized that a recent change in company policy was causing stress.

I advocated for my team’s concerns with upper management and worked with them to modify the policy. At the same time, I initiated team-building activities and regular check-ins to foster a more supportive and open team environment.”

Finally, talk about the outcomes of your actions. Employers want to know your problem-solving drives real improvements. Also, highlight any positive feedback from your boss or team members, and if possible, quantify the success.

“As a result of these actions, we saw a significant improvement in team morale within a month. Productivity levels bounced back, and the team’s overall satisfaction with their work environment increased.

This experience not only taught me valuable lessons about team dynamics but also reinforced the importance of proactive communication and advocacy for team needs.”

Here are some other outcomes to highlight in your answer:

• Resolving an issue with a difficult client : Client satisfaction restored, future business secured
• Fixing broken equipment : Equipment operational again, no more disruptions to operations
• Dealing with a mistake : Error corrected, a new process implemented to prevent recurrence
• Handling a deadline : Project completed on time, client received deliverable as promised
• Settling a dispute : Conflict resolved, team collaboration and morale improved
• Boosting team productivity : Increased output, goals reached, performance metrics improved
• Persuading colleagues : Proposal approved, a new initiative launched successfully

5 Examples Of Problem-Solving Skills

1. Improving Collaboration in a Stalled Project

Here is a sample you can use when explaining how you improved team collaboration on a project:

“Our team was tasked with developing a new financial management web application. However, we hit a snag and missed two crucial milestones. The core issue was a breakdown in communication – team members were not proactively sharing updates on delays or challenges they encountered.

To address this, I instituted daily 15-minute standup meetings. These sessions provided a platform for everyone to voice concerns and update the team on their progress. We also started tracking tasks in a shared spreadsheet so everyone had more visibility into the project.

Within two weeks, collaboration and communication improved significantly. We renegotiated the timeline with stakeholders, and the project team delivered the web app only 1 week after the original deadline.

The processes we put in place didn’t just help us with this project but also significantly boosted our efficiency on later projects.”

2. Revitalizing a Marketing Campaign

This is how you can describe a time you turned around a marketing campaign:

“In my last marketing role, I was responsible for a campaign promoting a new line of eco-friendly skincare products. Midway through, we found that our engagement metrics were dismal, particularly with our targeted demographic of people aged 20-30.

Upon reviewing our approach, I realized our messaging was too generic and failed to connect with this specific group’s interests and values. I spearheaded a strategy shift, focusing on the environmental benefits and ethical sourcing, aspects we found resonated more with a slightly older demographic, females aged 25-35, who were more invested in sustainable living.

We also pivoted our advertising to platforms popular with this demographic, like eco-conscious lifestyle blogs and organic beauty forums. This shift led to a 40% increase in engagement and contributed greatly to the success of our product launch, exceeding our initial sales targets.”

3. Streamlining Operational Processes

Here’s an example to illustrate how you tackled inefficiencies in operational processes:

“As an operations manager at a mid-sized electronics manufacturer, I noticed our product delivery was consistently delayed.

I identified the root cause as a bottleneck in our supply chain. In particular, a stage where manual data entry from manufacturing to logistics was causing significant hold-ups.

Realizing the need for efficiency, I proposed automating this stage. We collaborated with the IT department and implemented a barcode scanning system that integrated manufacturing output with our logistics database.

This change cut down the processing time by 30%, drastically improving our on-time delivery rate. It not only led to an upswing in customer satisfaction but also streamlined our inventory management, reducing both operational delays and costs.”

4. Resolving Communication Barriers Between Teams

This example demonstrates a solution for inter-departmental communication issues:

“In my previous role, I observed recurring conflicts between the sales and product development teams. These were mainly due to misunderstandings and a lack of clear communication about product updates. This led to promises being made to customers that the product team couldn’t fulfill.

To bridge this gap, I proposed and facilitated a series of joint workshops between the two teams. These sessions focused on aligning the teams’ understanding of product capabilities and timelines. Additionally, I initiated a bi-weekly newsletter and a shared digital workspace where both teams could update each other on developments and feedback.

The result was a significant improvement in inter-team collaboration. The sales team was better informed about product limitations and timelines, leading to more realistic commitments to customers.

Meanwhile, the product team received valuable market feedback directly from the sales team. It helped them tailor developments to customer needs. This collaborative approach not only reduced conflicts but also led to better product-market alignment.”

5. Resolving Customer Complaints and Enhancing Service Quality

This highlights an approach to customer service challenges:

“In my role as a customer service manager, I was faced with increasing customer complaints regarding delayed response times. This issue was affecting customer satisfaction and had the potential to harm our company’s reputation.

I started by analyzing our customer service processes and discovered that our response system was outdated and inefficient. To rectify this, I led the implementation of a new customer relationship management (CRM) system that streamlined our customer service workflow.

This system included automated responses for common queries and a more efficient ticketing process for complex issues. I also organized a series of training sessions for the customer service team to ensure they were well-versed in using the new system and could provide more effective solutions to customers.

Implementing these changes led to a huge reduction in response time and a significant drop in customer complaints. Our team also received positive feedback for improved service quality, which was reflected in our customer satisfaction surveys.”

Tips on Improving Problem-Solving Skills

Problem-solving is a career-long skill, not just needed for some interviews. Whether you’re a newbie or a seasoned pro, honing these skills can make a big difference in how you handle challenges at work.

Understand Before Assuming

Jumping to conclusions can be a trap. When a problem arises, take a step back and get a clear picture of what’s actually going on. This means holding off on assumptions until you’ve gathered all the facts.

Sometimes, the real issue isn’t what it seems at first glance. Doing a bit of digging to understand the root cause can lead you to a more effective solution.

Research and Learn from the Past

History often repeats itself, and this is true for workplace problems, too. When faced with a challenge, look into whether similar issues have popped up before.

How were they handled? What worked and what didn’t? Learning from past experiences, whether your own or someone else’s, can be a goldmine of insights.

Brainstorm With Creative Thinking

When thinking about potential solutions, avoid locking yourself into the first idea that comes to mind. Brainstorming can open up a world of possibilities and creative solutions. Don’t be afraid to think outside the box. Sometimes, the most unconventional ideas turn out to be the best solutions.

Always Have a Plan B

Even the best-laid plans can go awry. That’s why having a contingency plan is a must.

Think about what could go wrong and how to contain any further issues. This doesn’t mean you’re expecting the worst, but rather, you’re prepared to handle it efficiently if it does happen.

Team Decisions and Communication

Solving problems isn’t a solo mission. Make decisions as a team and keep everyone in the loop.

Clear communication is a valuable soft skill that helps everyone understand the plan and their role in it. Plus, this is how you can bring new perspectives and ideas to the table and make your solution even stronger.

Timeframe and Flexibility

Set a timeframe for your action plan, but be flexible. If something isn’t working, be ready to pivot and try a different approach. Sticking rigidly to a plan that’s not delivering results won’t do anyone any favors.

See more interview tips: How To Write A Follow-Up Email After Interview 3 Examples For Thank-You Email After Interview 8 Examples of Challenges You Have Overcome At Work 6 sample answers of accomplishments at work 5 Examples of Problem-Solving in The Workplace How To Ask for Feedback After Job Rejection How to Explain The Reason for Leaving a Job on Applications For Interview Question: What Do You Like To Do For Fun? What Are You Most Passionate About? What Are You Looking For In Your Next Job? Why Are You Interested In This Position? What Accomplishments Are You Most Proud Of?

Frequently Asked Questions

Are problem-solving skills that important.

Absolutely. No matter where you work, there’s always a curveball now and then. Having the knack to quickly think on your feet, break down a problem, and come up with a solution is a game-changer.

How Do I Sell Myself as a Problem Solver?

Storytelling is your best bet here. The trick is to paint a picture where you’re the person who spots the problem and then creatively solves it, not just someone who follows instructions.

How Do I Choose Good Examples for a Job Interview?

Pick examples that show you’re not just a one-trick pony. What I find impressive is when someone can demonstrate their thought process – how they analyzed the issue, got creative with solutions, and then put their plan into action.

What Are the Key Attributes of a Good Problem Solver?

They’re the kind of people who don’t rush to conclusions. Instead, they take their time to understand the problem, explore different angles, and weigh their options.

Adaptability is also key – they can roll with the punches and adjust their plans as needed. And, of course, they’re great at getting their point across, ensuring everyone’s on the same page.

What Are the Major Obstacles to Problem Solving?

From what I’ve seen, the big hurdles are often not having enough info, sticking too rigidly to old mindsets, and letting biases lead the way. It’s easy to get tunnel vision, especially if you’re used to doing things a certain way.

Also, not bringing different perspectives to the table can really limit your options.

As you step into the next interview, remember two key things: confidence and clarity. Trust in your abilities and the experiences you bring to the table. Learn how the above problem-solving examples can paint a vivid picture of your challenge and how you tackled it. Most importantly, let those stories reflect your skills and how you can be an asset to any team.

Christina J. Colclough

Dr Christina J. Colclough is an expert on The Future World of Work and the politics of digital technology advocating globally for the importance of the workers’ voice. She has extensive regional and global labour movement experience, is a sought-after keynote speaker, coach, and strategist advising progressive governments and worker organisations.

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Tackling Workplace Challenges: How to Improve Your Problem-Solving Skills

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Picture this: you’re in the middle of your workday, and suddenly, a problem arises. Maybe it’s a miscommunication between team members, a tight deadline that’s getting closer, or an unhappy customer you need to appease.

Sounds familiar, doesn’t it?

The thing is, facing challenges at work is pretty much inevitable. But what sets successful professionals apart is their knack for tackling these issues head-on with a problem-solving mindset.

You see, being a great problem solver is a game-changer in any work environment. It helps us navigate through obstacles, come up with creative solutions, and turn potential setbacks into opportunities for growth.

In this article, we will dive into some common workplace problems and explore real-life examples of problem-solving scenarios.

We’ll also share practical solutions and strategies that you can use to tackle these challenges, ultimately empowering you to become a more effective problem solver and team player.

Common Workplace Problems Businesses Experience

Before we dive into the nitty-gritty of problem-solving scenarios, let’s take a quick look at some of the most common workplace problems that almost every professional encounters at some point in their career.

By understanding these challenges, we’ll be better equipped to recognize and address them effectively.

Communication breakdowns

Miscommunications and misunderstandings can happen to the best of us. With team members working together, sometimes remotely or across different time zones, it’s not surprising that communication breakdowns can occur. These issues can lead to confusion, missed deadlines, and even strained relationships within the team if left unaddressed.

Some examples of communication breakdowns include:

• Unclear instructions
• Lack of updates on project progress
• Messages lost in a sea of emails

Fostering open communication channels and utilizing collaboration tools can help teams stay connected and informed.

Conflicting priorities and resource allocation

With limited resources and multiple projects competing for attention, it can be challenging to determine which tasks should take precedence. Juggling conflicting priorities and allocating resources efficiently is a common workplace problem that can result in decreased productivity and increased stress if not managed properly.

For example, two high-priority projects might be scheduled simultaneously, leaving team members stretched thin and struggling to meet deadlines. Developing a clear project prioritization framework and regularly reviewing priorities can help teams stay focused and manage their resources effectively.

Employee performance issues

It’s not unusual for team members to face performance-related challenges occasionally. Employee performance issues can affect team productivity and morale, whether it’s due to a lack of skills, motivation, or other factors. Identifying and addressing these concerns early on is crucial for maintaining a high-performing and engaged team.

For instance, employees may struggle to keep up with their workload due to a skills gap or personal issues. Providing coaching, training, and support can help employees overcome performance challenges and contribute positively to the team’s success.

Customer satisfaction challenges

Meeting customer expectations and delivering exceptional service are goals for most organizations. However, addressing customer satisfaction challenges can be tricky, especially when dealing with diverse customer needs, tight deadlines, or limited resources.

Ensuring a customer-centric approach to problem-solving can help overcome these obstacles and keep your customers happy.

For example, a product might not meet customer expectations, resulting in negative feedback and returns. By actively listening to customer concerns, involving them in the solution process, and implementing improvements, organizations can turn customer dissatisfaction into opportunities for growth and enhanced customer loyalty.

Adapting to change

Change is inevitable in the modern workplace, whether due to new technology, evolving market conditions, or organizational restructuring. Adapting to change can be difficult for some team members, leading to resistance or fear of the unknown.

Embracing a flexible mindset and developing strategies to cope with change is essential for maintaining a productive and resilient work environment.

For instance, a company might introduce new software that requires employees to learn new skills, causing anxiety and frustration. By providing training, resources, and support, leaders can help team members adapt to change more effectively and even become champions of new initiatives.

How to Identify Workplace Problems

A problem-free workplace doesn’t exist.

Even if you run a well-oiled machine with many happy employees, it’s still a good idea to proactively search for any problems.

The earlier you can get ahead of issues, the easier it will be to put things right and avoid any breakdowns in productivity. Here’s how you can go about that:

Recognizing the Signs of Potential Issues

Before diving into problem-solving strategies, it’s essential first to identify the workplace problems that need attention.

Look out for signs that could indicate potential issues, such as decreased productivity and efficiency, increased employee turnover or dissatisfaction, frequent miscommunications, and conflicts, or declining customer satisfaction and recurring complaints. These red flags might signal underlying problems that require your attention and resolution.

Proactive Problem Identification Strategies

To stay ahead of potential issues, it’s crucial to adopt a proactive approach to problem identification. Open communication channels with your team members and encourage them to share their concerns, ideas, and feedback.

Regular performance reviews and feedback sessions can also help identify areas for improvement or potential problems before they escalate.

Fostering a culture of transparency and trust within the organization makes it easier for employees to voice their concerns without fear of retribution. Additionally, utilizing data-driven analysis and performance metrics can help you spot trends or anomalies that may indicate underlying problems.

Seeking Input from Various Sources

When identifying workplace problems, gathering input from various sources is crucial to ensure you’re getting a comprehensive and accurate picture of the situation. Employee surveys and suggestion boxes can provide valuable insights into potential issues.

At the same time, team meetings and brainstorming sessions can stimulate open discussions and creative problem-solving.

Cross-departmental collaboration is another effective way to identify potential problems, enabling different teams to share their perspectives and experiences. In some cases, it might be helpful to seek external expert consultations or benchmark against industry standards to gain a broader understanding of potential issues and identify best practices for resolving them.

Problem-Solving Scenario Examples and Solutions

Let’s dive into some real-life problem-solving scenarios, exploring the challenges and their practical solutions. We’ll discuss communication issues, conflicting priorities, employee performance, customer satisfaction, and managing change.

Remember, every situation is unique; these examples are just a starting point to inspire your problem-solving process.

Scenario 1: Resolving communication issues within a team

• Identifying the root causes: Let’s say your team has been missing deadlines and experiencing confusion due to poor communication. The first step is identifying the root causes, such as ineffective communication tools, unclear instructions, or a lack of regular updates.
• Implementing effective communication strategies: Implement strategies to improve communication. For example, consider adopting collaboration tools like Slack or Microsoft Teams to streamline communication, establish clear channels for updates, and create guidelines for concise and transparent instructions.
• Encouraging a culture of openness and feedback: Cultivate a team culture that values openness and feedback. Encourage team members to voice concerns, ask questions, and share ideas. Regularly hold check-ins and retrospectives to discuss communication challenges and opportunities for improvement.

Scenario 2: Balancing conflicting priorities and resource constraints

• Evaluating project requirements and resources: In this scenario, you’re juggling two high-priority projects with limited resources. Start by evaluating each project’s requirements, resources, and potential impact on the organization.
• Prioritization techniques and delegation: Use prioritization techniques like the Eisenhower Matrix or MoSCoW method to rank tasks and allocate resources accordingly. Delegate tasks efficiently by matching team members’ skills and expertise with project requirements.
• Continuous monitoring and adjustment: Regularly monitor project progress and adjust priorities and resources as needed. Keep stakeholders informed about changes and maintain open lines of communication to ensure alignment and avoid surprises.

Scenario 3: Addressing employee performance concerns

• Identifying performance gaps: When an employee’s performance is below expectations, identify the specific areas that need improvement. Is it a skills gap, lack of motivation, or external factors like personal issues?
• Providing constructive feedback and support: Provide clear, constructive feedback to the employee, highlighting areas for improvement and offering support, such as training, coaching, or mentorship.
• Developing performance improvement plans: Collaborate with the employee to develop a performance improvement plan , outlining specific goals, timelines, and resources. Regularly review progress and adjust the plan as needed.

Scenario 4: Improving customer satisfaction

• Analyzing customer feedback and pain points: In this scenario, customers are dissatisfied with a product, resulting in negative feedback and returns. Analyze customer feedback to identify common pain points and areas for improvement.
• Implementing customer-centric solutions: Work with your team to develop and implement solutions that address customer concerns, such as enhancing product features or improving customer support.
• Monitoring progress and iterating for success: Regularly monitor customer satisfaction levels and gather feedback to assess the effectiveness of your solutions. Iterate and improve as needed to ensure continuous progress toward higher customer satisfaction.

Scenario 5: Managing change and uncertainty

• Assessing the impact of change on the organization: When faced with change, such as the introduction of new software, assess the potential impact on the organization, including the benefits, challenges, and required resources.
• Developing a change management plan: Create a comprehensive change management plan that includes communication strategies, training, and support resources to help team members adapt to the change.
• Fostering resilience and adaptability among team members: Encourage a culture of resilience and adaptability by providing ongoing support, celebrating small wins, and recognizing the efforts of team members who embrace and champion the change.

Scenario 6: Navigating team conflicts

• Identifying the sources of conflict: When conflicts arise within a team, it’s crucial to identify the underlying issues, such as personality clashes, competing interests, or poor communication.
• Facilitating open discussions and mediation: Arrange a meeting with the involved parties to discuss the conflict openly and objectively. Consider using a neutral third party to mediate the conversation, ensuring everyone’s perspective is heard and understood.
• Developing and implementing conflict resolution strategies: Work together to develop strategies for resolving the conflict, such as setting clear expectations, improving communication, or redefining roles and responsibilities. Monitor progress and adjust strategies as needed to ensure long-term resolution.

Scenario 7: Overcoming deadline pressure and time management challenges

• Assessing project progress and priorities: If a team is struggling to meet deadlines, assess project progress and review priorities. Identify tasks that are behind schedule, and determine if any can be reprioritized or delegated.
• Implementing time management techniques: Encourage the team to adopt effective time management techniques, such as the Pomodoro Technique or time blocking, to maximize productivity and stay focused on tasks.
• Adjusting project scope and resources as needed: In some cases, it may be necessary to adjust the project scope or allocate additional resources to ensure successful completion. Communicate any changes to stakeholders and maintain transparency throughout the process.

Scenario 8: Tackling low employee morale and engagement

• Identifying the causes of low morale: When faced with low employee morale, it’s essential to identify the contributing factors, such as lack of recognition, insufficient growth opportunities, or unrealistic expectations.
• Implementing targeted initiatives to boost morale: Develop and implement initiatives to address these factors, such as offering regular feedback and recognition, providing professional development opportunities, or reassessing workload and expectations.
• Monitoring and adjusting efforts to improve engagement: Regularly monitor employee morale and engagement through surveys or informal conversations. Adjust your initiatives to ensure continuous improvement and maintain a positive work environment.

Developing Problem-Solving Skills in the Workplace

As we’ve seen, problem-solving is a crucial skill for navigating the myriad challenges that can arise in the workplace. To become effective problem solvers, you must develop hard and soft skills that will allow you to tackle issues head-on and find the best solutions.

Let’s dive into these skills and discuss how to cultivate them in the workplace.

Soft Skills

Soft skills are non-technical, interpersonal abilities that help you interact effectively with others, navigate social situations, and perform well in the workplace. They are often referred to as “people skills” or “emotional intelligence” because they involve understanding and managing emotions and building relationships with colleagues, clients, and stakeholders.

Soft skills are typically learned through life experiences and personal development rather than formal education or training.

Examples of soft skills include:

• Critical thinking: Critical thinking is the ability to analyze a situation objectively, considering all relevant information before making a decision. To develop this skill, practice asking open-ended questions, challenging assumptions, and considering multiple perspectives when approaching a problem.
• Effective communication: Strong communication skills are vital for problem-solving, as they enable you to express your ideas clearly and listen actively to others. To improve your communication skills, focus on being concise, empathetic, and open to feedback. Remember that nonverbal communication, such as body language and tone, can be just as important as the words you choose.
• Collaboration and teamwork: Problem-solving often requires collaboration, as multiple minds can bring diverse perspectives and fresh ideas to the table. Foster a sense of teamwork by being open to others’ input, sharing knowledge, and recognizing the contributions of your colleagues.
• Emotional intelligence: The ability to recognize and manage your emotions, as well as empathize with others, can significantly impact your problem-solving abilities. To cultivate emotional intelligence, practice self-awareness, self-regulation, and empathy when dealing with challenges or conflicts.
• Adaptability and resilience: In a constantly changing work environment, the ability to adapt and bounce back from setbacks is essential. Develop your adaptability and resilience by embracing change, learning from failure, and maintaining a growth mindset.

Hard Skills

Hard skills, on the other hand, are specific, teachable abilities that can be acquired through formal education, training, or on-the-job experience. These skills are typically technical, industry-specific, or job-related and can be easily quantified and measured.

Hard skills are often necessary for performing specific tasks or operating specialized tools and equipment.

Examples of hard skills include:

• Project management: Effective problem-solving often involves managing resources, timelines, and tasks. Improve your project management skills by learning popular methodologies (e.g., Agile, Scrum, or Waterfall), setting clear goals, and monitoring progress.
• Data analysis and interpretation: Many problems require data analysis to identify trends, patterns, or insights that inform decision-making. Strengthen your data analysis skills by familiarizing yourself with relevant tools and software, such as Excel or Tableau, and practicing critical thinking when interpreting results.
• Technical proficiency: Depending on your industry, various technical skills may be crucial for problem-solving. Stay current with your field’s latest tools, technologies, and best practices by participating in workshops, online courses, or industry events.
• Decision-making: Strong decision-making skills are vital for problem-solving, as they enable you to evaluate options and choose the best course of action. Develop your decision-making abilities by learning about decision-making models (e.g., SWOT analysis, cost-benefit analysis, or decision trees) and applying them in real-life situations.

Both types of skills—soft and hard—play a crucial role in achieving success in the workplace, as they work together to create a well-rounded and highly effective employee. When combined, these skills enable individuals to excel in their roles and contribute significantly to their organization’s performance and productivity.

Boosting Your Problem-Solving Skills in the Workplace

Boosting your problem-solving skills in the workplace is essential for success, personal growth, and increased productivity.

To effectively improve these skills, consider the following strategies:

• Cultivate a growth mindset by embracing challenges as learning opportunities, being open to feedback, and believing in your ability to develop and improve.
• Enhance critical thinking and creativity by objectively analyzing information, considering multiple perspectives, and brainstorming innovative solutions.
• Develop effective communication skills, including active listening and clear articulation of your thoughts, to facilitate collaboration and problem-solving.
• Foster empathy and emotional intelligence to understand others’ emotions, perspectives, and needs, which can help you devise better solutions.
• Learn from experienced colleagues, study successful problem-solving strategies, and participate in professional development courses or workshops to gain new insights and techniques.
• Adopt a systematic approach to problem-solving by defining the problem, gathering and analyzing relevant information, generating and evaluating potential solutions, and implementing the chosen solution while monitoring its effectiveness.
• Stay organized and manage your time effectively by prioritizing tasks based on urgency and importance and breaking complex problems into smaller, more manageable parts.
• Embrace change, be resilient and adaptable, and learn from failures and setbacks to stay flexible and open to new ideas.

By dedicating time and effort to improving these aspects of your problem-solving skills, you can become a more effective problem-solver, contributing positively to your workplace and enhancing your career prospects.

Problems in the workplace will continuously develop and evolve over time if left unaddressed. Proactively dealing with these issues is the most effective method to ensure a positive and productive work environment.

By honing your problem-solving skills, embracing a growth mindset, and fostering open communication, you can tackle challenges head-on and prevent minor issues from escalating into significant obstacles.

Remember, staying proactive, adaptable, and continuously refining your problem-solving strategies is crucial for professional success and personal growth in the ever-changing world of work.

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How to master the seven-step problem-solving process

In this episode of the McKinsey Podcast , Simon London speaks with Charles Conn, CEO of venture-capital firm Oxford Sciences Innovation, and McKinsey senior partner Hugo Sarrazin about the complexities of different problem-solving strategies.

Podcast transcript

Simon London: Hello, and welcome to this episode of the McKinsey Podcast , with me, Simon London. What’s the number-one skill you need to succeed professionally? Salesmanship, perhaps? Or a facility with statistics? Or maybe the ability to communicate crisply and clearly? Many would argue that at the very top of the list comes problem solving: that is, the ability to think through and come up with an optimal course of action to address any complex challenge—in business, in public policy, or indeed in life.

Looked at this way, it’s no surprise that McKinsey takes problem solving very seriously, testing for it during the recruiting process and then honing it, in McKinsey consultants, through immersion in a structured seven-step method. To discuss the art of problem solving, I sat down in California with McKinsey senior partner Hugo Sarrazin and also with Charles Conn. Charles is a former McKinsey partner, entrepreneur, executive, and coauthor of the book Bulletproof Problem Solving: The One Skill That Changes Everything [John Wiley & Sons, 2018].

Charles and Hugo, welcome to the podcast. Thank you for being here.

Hugo Sarrazin: Our pleasure.

Charles Conn: It’s terrific to be here.

Simon London: Problem solving is a really interesting piece of terminology. It could mean so many different things. I have a son who’s a teenage climber. They talk about solving problems. Climbing is problem solving. Charles, when you talk about problem solving, what are you talking about?

Charles Conn: For me, problem solving is the answer to the question “What should I do?” It’s interesting when there’s uncertainty and complexity, and when it’s meaningful because there are consequences. Your son’s climbing is a perfect example. There are consequences, and it’s complicated, and there’s uncertainty—can he make that grab? I think we can apply that same frame almost at any level. You can think about questions like “What town would I like to live in?” or “Should I put solar panels on my roof?”

You might think that’s a funny thing to apply problem solving to, but in my mind it’s not fundamentally different from business problem solving, which answers the question “What should my strategy be?” Or problem solving at the policy level: “How do we combat climate change?” “Should I support the local school bond?” I think these are all part and parcel of the same type of question, “What should I do?”

I’m a big fan of structured problem solving. By following steps, we can more clearly understand what problem it is we’re solving, what are the components of the problem that we’re solving, which components are the most important ones for us to pay attention to, which analytic techniques we should apply to those, and how we can synthesize what we’ve learned back into a compelling story. That’s all it is, at its heart.

I think sometimes when people think about seven steps, they assume that there’s a rigidity to this. That’s not it at all. It’s actually to give you the scope for creativity, which often doesn’t exist when your problem solving is muddled.

Simon London: You were just talking about the seven-step process. That’s what’s written down in the book, but it’s a very McKinsey process as well. Without getting too deep into the weeds, let’s go through the steps, one by one. You were just talking about problem definition as being a particularly important thing to get right first. That’s the first step. Hugo, tell us about that.

Hugo Sarrazin: It is surprising how often people jump past this step and make a bunch of assumptions. The most powerful thing is to step back and ask the basic questions—“What are we trying to solve? What are the constraints that exist? What are the dependencies?” Let’s make those explicit and really push the thinking and defining. At McKinsey, we spend an enormous amount of time in writing that little statement, and the statement, if you’re a logic purist, is great. You debate. “Is it an ‘or’? Is it an ‘and’? What’s the action verb?” Because all these specific words help you get to the heart of what matters.

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Simon London: So this is a concise problem statement.

Hugo Sarrazin: Yeah. It’s not like “Can we grow in Japan?” That’s interesting, but it is “What, specifically, are we trying to uncover in the growth of a product in Japan? Or a segment in Japan? Or a channel in Japan?” When you spend an enormous amount of time, in the first meeting of the different stakeholders, debating this and having different people put forward what they think the problem definition is, you realize that people have completely different views of why they’re here. That, to me, is the most important step.

Charles Conn: I would agree with that. For me, the problem context is critical. When we understand “What are the forces acting upon your decision maker? How quickly is the answer needed? With what precision is the answer needed? Are there areas that are off limits or areas where we would particularly like to find our solution? Is the decision maker open to exploring other areas?” then you not only become more efficient, and move toward what we call the critical path in problem solving, but you also make it so much more likely that you’re not going to waste your time or your decision maker’s time.

How often do especially bright young people run off with half of the idea about what the problem is and start collecting data and start building models—only to discover that they’ve really gone off half-cocked.

Hugo Sarrazin: Yeah.

Charles Conn: And in the wrong direction.

Simon London: OK. So step one—and there is a real art and a structure to it—is define the problem. Step two, Charles?

Charles Conn: My favorite step is step two, which is to use logic trees to disaggregate the problem. Every problem we’re solving has some complexity and some uncertainty in it. The only way that we can really get our team working on the problem is to take the problem apart into logical pieces.

What we find, of course, is that the way to disaggregate the problem often gives you an insight into the answer to the problem quite quickly. I love to do two or three different cuts at it, each one giving a bit of a different insight into what might be going wrong. By doing sensible disaggregations, using logic trees, we can figure out which parts of the problem we should be looking at, and we can assign those different parts to team members.

Simon London: What’s a good example of a logic tree on a sort of ratable problem?

Charles Conn: Maybe the easiest one is the classic profit tree. Almost in every business that I would take a look at, I would start with a profit or return-on-assets tree. In its simplest form, you have the components of revenue, which are price and quantity, and the components of cost, which are cost and quantity. Each of those can be broken out. Cost can be broken into variable cost and fixed cost. The components of price can be broken into what your pricing scheme is. That simple tree often provides insight into what’s going on in a business or what the difference is between that business and the competitors.

If we add the leg, which is “What’s the asset base or investment element?”—so profit divided by assets—then we can ask the question “Is the business using its investments sensibly?” whether that’s in stores or in manufacturing or in transportation assets. I hope we can see just how simple this is, even though we’re describing it in words.

When I went to work with Gordon Moore at the Moore Foundation, the problem that he asked us to look at was “How can we save Pacific salmon?” Now, that sounds like an impossible question, but it was amenable to precisely the same type of disaggregation and allowed us to organize what became a 15-year effort to improve the likelihood of good outcomes for Pacific salmon.

Simon London: Now, is there a danger that your logic tree can be impossibly large? This, I think, brings us onto the third step in the process, which is that you have to prioritize.

Charles Conn: Absolutely. The third step, which we also emphasize, along with good problem definition, is rigorous prioritization—we ask the questions “How important is this lever or this branch of the tree in the overall outcome that we seek to achieve? How much can I move that lever?” Obviously, we try and focus our efforts on ones that have a big impact on the problem and the ones that we have the ability to change. With salmon, ocean conditions turned out to be a big lever, but not one that we could adjust. We focused our attention on fish habitats and fish-harvesting practices, which were big levers that we could affect.

People spend a lot of time arguing about branches that are either not important or that none of us can change. We see it in the public square. When we deal with questions at the policy level—“Should you support the death penalty?” “How do we affect climate change?” “How can we uncover the causes and address homelessness?”—it’s even more important that we’re focusing on levers that are big and movable.

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Simon London: Let’s move swiftly on to step four. You’ve defined your problem, you disaggregate it, you prioritize where you want to analyze—what you want to really look at hard. Then you got to the work plan. Now, what does that mean in practice?

Hugo Sarrazin: Depending on what you’ve prioritized, there are many things you could do. It could be breaking the work among the team members so that people have a clear piece of the work to do. It could be defining the specific analyses that need to get done and executed, and being clear on time lines. There’s always a level-one answer, there’s a level-two answer, there’s a level-three answer. Without being too flippant, I can solve any problem during a good dinner with wine. It won’t have a whole lot of backing.

Simon London: Not going to have a lot of depth to it.

Hugo Sarrazin: No, but it may be useful as a starting point. If the stakes are not that high, that could be OK. If it’s really high stakes, you may need level three and have the whole model validated in three different ways. You need to find a work plan that reflects the level of precision, the time frame you have, and the stakeholders you need to bring along in the exercise.

Charles Conn: I love the way you’ve described that, because, again, some people think of problem solving as a linear thing, but of course what’s critical is that it’s iterative. As you say, you can solve the problem in one day or even one hour.

Charles Conn: We encourage our teams everywhere to do that. We call it the one-day answer or the one-hour answer. In work planning, we’re always iterating. Every time you see a 50-page work plan that stretches out to three months, you know it’s wrong. It will be outmoded very quickly by that learning process that you described. Iterative problem solving is a critical part of this. Sometimes, people think work planning sounds dull, but it isn’t. It’s how we know what’s expected of us and when we need to deliver it and how we’re progressing toward the answer. It’s also the place where we can deal with biases. Bias is a feature of every human decision-making process. If we design our team interactions intelligently, we can avoid the worst sort of biases.

Simon London: Here we’re talking about cognitive biases primarily, right? It’s not that I’m biased against you because of your accent or something. These are the cognitive biases that behavioral sciences have shown we all carry around, things like anchoring, overoptimism—these kinds of things.

Both: Yeah.

Charles Conn: Availability bias is the one that I’m always alert to. You think you’ve seen the problem before, and therefore what’s available is your previous conception of it—and we have to be most careful about that. In any human setting, we also have to be careful about biases that are based on hierarchies, sometimes called sunflower bias. I’m sure, Hugo, with your teams, you make sure that the youngest team members speak first. Not the oldest team members, because it’s easy for people to look at who’s senior and alter their own creative approaches.

Hugo Sarrazin: It’s helpful, at that moment—if someone is asserting a point of view—to ask the question “This was true in what context?” You’re trying to apply something that worked in one context to a different one. That can be deadly if the context has changed, and that’s why organizations struggle to change. You promote all these people because they did something that worked well in the past, and then there’s a disruption in the industry, and they keep doing what got them promoted even though the context has changed.

Simon London: Right. Right.

Hugo Sarrazin: So it’s the same thing in problem solving.

Charles Conn: And it’s why diversity in our teams is so important. It’s one of the best things about the world that we’re in now. We’re likely to have people from different socioeconomic, ethnic, and national backgrounds, each of whom sees problems from a slightly different perspective. It is therefore much more likely that the team will uncover a truly creative and clever approach to problem solving.

Simon London: Let’s move on to step five. You’ve done your work plan. Now you’ve actually got to do the analysis. The thing that strikes me here is that the range of tools that we have at our disposal now, of course, is just huge, particularly with advances in computation, advanced analytics. There’s so many things that you can apply here. Just talk about the analysis stage. How do you pick the right tools?

Charles Conn: For me, the most important thing is that we start with simple heuristics and explanatory statistics before we go off and use the big-gun tools. We need to understand the shape and scope of our problem before we start applying these massive and complex analytical approaches.

Simon London: Would you agree with that?

Hugo Sarrazin: I agree. I think there are so many wonderful heuristics. You need to start there before you go deep into the modeling exercise. There’s an interesting dynamic that’s happening, though. In some cases, for some types of problems, it is even better to set yourself up to maximize your learning. Your problem-solving methodology is test and learn, test and learn, test and learn, and iterate. That is a heuristic in itself, the A/B testing that is used in many parts of the world. So that’s a problem-solving methodology. It’s nothing different. It just uses technology and feedback loops in a fast way. The other one is exploratory data analysis. When you’re dealing with a large-scale problem, and there’s so much data, I can get to the heuristics that Charles was talking about through very clever visualization of data.

You test with your data. You need to set up an environment to do so, but don’t get caught up in neural-network modeling immediately. You’re testing, you’re checking—“Is the data right? Is it sound? Does it make sense?”—before you launch too far.

Simon London: You do hear these ideas—that if you have a big enough data set and enough algorithms, they’re going to find things that you just wouldn’t have spotted, find solutions that maybe you wouldn’t have thought of. Does machine learning sort of revolutionize the problem-solving process? Or are these actually just other tools in the toolbox for structured problem solving?

Charles Conn: It can be revolutionary. There are some areas in which the pattern recognition of large data sets and good algorithms can help us see things that we otherwise couldn’t see. But I do think it’s terribly important we don’t think that this particular technique is a substitute for superb problem solving, starting with good problem definition. Many people use machine learning without understanding algorithms that themselves can have biases built into them. Just as 20 years ago, when we were doing statistical analysis, we knew that we needed good model definition, we still need a good understanding of our algorithms and really good problem definition before we launch off into big data sets and unknown algorithms.

Simon London: Step six. You’ve done your analysis.

Charles Conn: I take six and seven together, and this is the place where young problem solvers often make a mistake. They’ve got their analysis, and they assume that’s the answer, and of course it isn’t the answer. The ability to synthesize the pieces that came out of the analysis and begin to weave those into a story that helps people answer the question “What should I do?” This is back to where we started. If we can’t synthesize, and we can’t tell a story, then our decision maker can’t find the answer to “What should I do?”

Simon London: But, again, these final steps are about motivating people to action, right?

Charles Conn: Yeah.

Simon London: I am slightly torn about the nomenclature of problem solving because it’s on paper, right? Until you motivate people to action, you actually haven’t solved anything.

Charles Conn: I love this question because I think decision-making theory, without a bias to action, is a waste of time. Everything in how I approach this is to help people take action that makes the world better.

Simon London: Hence, these are absolutely critical steps. If you don’t do this well, you’ve just got a bunch of analysis.

Charles Conn: We end up in exactly the same place where we started, which is people speaking across each other, past each other in the public square, rather than actually working together, shoulder to shoulder, to crack these important problems.

Simon London: In the real world, we have a lot of uncertainty—arguably, increasing uncertainty. How do good problem solvers deal with that?

Hugo Sarrazin: At every step of the process. In the problem definition, when you’re defining the context, you need to understand those sources of uncertainty and whether they’re important or not important. It becomes important in the definition of the tree.

You need to think carefully about the branches of the tree that are more certain and less certain as you define them. They don’t have equal weight just because they’ve got equal space on the page. Then, when you’re prioritizing, your prioritization approach may put more emphasis on things that have low probability but huge impact—or, vice versa, may put a lot of priority on things that are very likely and, hopefully, have a reasonable impact. You can introduce that along the way. When you come back to the synthesis, you just need to be nuanced about what you’re understanding, the likelihood.

Often, people lack humility in the way they make their recommendations: “This is the answer.” They’re very precise, and I think we would all be well-served to say, “This is a likely answer under the following sets of conditions” and then make the level of uncertainty clearer, if that is appropriate. It doesn’t mean you’re always in the gray zone; it doesn’t mean you don’t have a point of view. It just means that you can be explicit about the certainty of your answer when you make that recommendation.

Simon London: So it sounds like there is an underlying principle: “Acknowledge and embrace the uncertainty. Don’t pretend that it isn’t there. Be very clear about what the uncertainties are up front, and then build that into every step of the process.”

Hugo Sarrazin: Every step of the process.

Simon London: Yeah. We have just walked through a particular structured methodology for problem solving. But, of course, this is not the only structured methodology for problem solving. One that is also very well-known is design thinking, which comes at things very differently. So, Hugo, I know you have worked with a lot of designers. Just give us a very quick summary. Design thinking—what is it, and how does it relate?

Hugo Sarrazin: It starts with an incredible amount of empathy for the user and uses that to define the problem. It does pause and go out in the wild and spend an enormous amount of time seeing how people interact with objects, seeing the experience they’re getting, seeing the pain points or joy—and uses that to infer and define the problem.

Simon London: Problem definition, but out in the world.

Hugo Sarrazin: With an enormous amount of empathy. There’s a huge emphasis on empathy. Traditional, more classic problem solving is you define the problem based on an understanding of the situation. This one almost presupposes that we don’t know the problem until we go see it. The second thing is you need to come up with multiple scenarios or answers or ideas or concepts, and there’s a lot of divergent thinking initially. That’s slightly different, versus the prioritization, but not for long. Eventually, you need to kind of say, “OK, I’m going to converge again.” Then you go and you bring things back to the customer and get feedback and iterate. Then you rinse and repeat, rinse and repeat. There’s a lot of tactile building, along the way, of prototypes and things like that. It’s very iterative.

Simon London: So, Charles, are these complements or are these alternatives?

Charles Conn: I think they’re entirely complementary, and I think Hugo’s description is perfect. When we do problem definition well in classic problem solving, we are demonstrating the kind of empathy, at the very beginning of our problem, that design thinking asks us to approach. When we ideate—and that’s very similar to the disaggregation, prioritization, and work-planning steps—we do precisely the same thing, and often we use contrasting teams, so that we do have divergent thinking. The best teams allow divergent thinking to bump them off whatever their initial biases in problem solving are. For me, design thinking gives us a constant reminder of creativity, empathy, and the tactile nature of problem solving, but it’s absolutely complementary, not alternative.

Simon London: I think, in a world of cross-functional teams, an interesting question is do people with design-thinking backgrounds really work well together with classical problem solvers? How do you make that chemistry happen?

Hugo Sarrazin: Yeah, it is not easy when people have spent an enormous amount of time seeped in design thinking or user-centric design, whichever word you want to use. If the person who’s applying classic problem-solving methodology is very rigid and mechanical in the way they’re doing it, there could be an enormous amount of tension. If there’s not clarity in the role and not clarity in the process, I think having the two together can be, sometimes, problematic.

The second thing that happens often is that the artifacts the two methodologies try to gravitate toward can be different. Classic problem solving often gravitates toward a model; design thinking migrates toward a prototype. Rather than writing a big deck with all my supporting evidence, they’ll bring an example, a thing, and that feels different. Then you spend your time differently to achieve those two end products, so that’s another source of friction.

Now, I still think it can be an incredibly powerful thing to have the two—if there are the right people with the right mind-set, if there is a team that is explicit about the roles, if we’re clear about the kind of outcomes we are attempting to bring forward. There’s an enormous amount of collaborativeness and respect.

Simon London: But they have to respect each other’s methodology and be prepared to flex, maybe, a little bit, in how this process is going to work.

Hugo Sarrazin: Absolutely.

Simon London: The other area where, it strikes me, there could be a little bit of a different sort of friction is this whole concept of the day-one answer, which is what we were just talking about in classical problem solving. Now, you know that this is probably not going to be your final answer, but that’s how you begin to structure the problem. Whereas I would imagine your design thinkers—no, they’re going off to do their ethnographic research and get out into the field, potentially for a long time, before they come back with at least an initial hypothesis.

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Hugo Sarrazin: That is a great callout, and that’s another difference. Designers typically will like to soak into the situation and avoid converging too quickly. There’s optionality and exploring different options. There’s a strong belief that keeps the solution space wide enough that you can come up with more radical ideas. If there’s a large design team or many designers on the team, and you come on Friday and say, “What’s our week-one answer?” they’re going to struggle. They’re not going to be comfortable, naturally, to give that answer. It doesn’t mean they don’t have an answer; it’s just not where they are in their thinking process.

Simon London: I think we are, sadly, out of time for today. But Charles and Hugo, thank you so much.

Charles Conn: It was a pleasure to be here, Simon.

Hugo Sarrazin: It was a pleasure. Thank you.

Simon London: And thanks, as always, to you, our listeners, for tuning into this episode of the McKinsey Podcast . If you want to learn more about problem solving, you can find the book, Bulletproof Problem Solving: The One Skill That Changes Everything , online or order it through your local bookstore. To learn more about McKinsey, you can of course find us at McKinsey.com.

Charles Conn is CEO of Oxford Sciences Innovation and an alumnus of McKinsey’s Sydney office. Hugo Sarrazin is a senior partner in the Silicon Valley office, where Simon London, a member of McKinsey Publishing, is also based.

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The Strange Story of the Algorithm Meant to Solve Life, the Universe and Everything

Some researchers dream of solving all mysteries with a common method—but a mathematical paradox may keep such solutions out of reach

By Manon Bischoff

SerJoe/Getty Images

What did you dream of doing when you were 16 years old? I wanted to drive a car and travel the world. But American mathematician Ray Solomonoff had more ambitious goals at that age. He wanted to find a method to solve every conceivable scientific problem.

This was not just wishful thinking—the teenager had a groundbreaking idea that would establish a completely new field of research. Over the next few years, Solomonoff developed a concept that made it possible to systematically search data for patterns—and thus reveal the hidden processes that underlie our world.

Today this may be reminiscent of the way artificial intelligence works . But Solomonoff formulated his first ideas in 1942 —long before AI algorithms existed. Solomonoff’s approach was based on the principle of Occam’s razor, according to which the simplest explanation for a phenomenon is usually the correct one. (Physicists employ the same logic; they seek the simplest formulas to try to describe as many physical processes as possible.)

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Solomonoff was looking for a set of rules or an algorithm that would reveal hidden relationships in data. In this way, he hoped, everything in the world could be simply explained. For example, if you record the trajectory of a thrown baseball, you can find any number of mathematical formulas—some very complicated—that reproduce the course of the trajectory. To derive the correct law from all these possibilities, you should look for the simplest description. The answer will most likely correspond to Newton’s laws of motion, which describe the interaction of two forces: the force with which the person threw the ball and the gravitational force that brings the ball to the ground.

Solomonoff was looking for a rule that would select the simplest of all possible descriptions. Such a rule could be translated into a computer program. Any data could be passed to this program, and after a certain amount of time, the simplest explanation for the origin of these values could be obtained. It would be a veritable miracle machine.

How to Define “Simple”

First things first: Solomonoff’s simplest-description finder does not exist—and it never will. Nevertheless, with his ideas, the then 16-year-old stood at the precipice of a completely new field of research that deals with the true nature of chance and complexity. And as is so often the case in the natural sciences, two other people had quite similar ideas at about the same time.

One of these people was Soviet mathematician Andrey Kolmogorov, who was primarily concerned with probabilities and random numbers. In particular, he was interested in how to decide whether the description of a phenomenon is simple or complicated.

Let’s say I show you the number 25,041,903. At first glance, it seems pretty random. There are various ways to explain how I obtained this value. For example, I could have used a random-number generator and obtained the digits 2, 5, 0, 4, 1, 9, 0 and 3, in that order. This doesn’t seem particularly satisfactory—there isn’t a reasoning behind it that helps you remember the value. But I could instead say that this number is equal to the product of the three primes 3 x 61 x 136,841. Or I could tell you that the sequence of numbers starts at the 40,122,575th decimal place of pi or that I chose this number because Kolmogorov was born on April 25, 1903. Which of these explanations sounds the simplest to you? Different people will probably have different replies.

Kolmogorov succeeded in developing an objective method to determine the complexity of objects. The Kolmogorov complexity of a number corresponds to the length of the shortest computer program that calculates the number. The shorter the program, the simpler the number.

The Kolmogorov complexity thus depends on the programming language used. A certain program might turn out shorter in Python than in C++ and vice versa. Every computer program can be expressed in machine code, which in turn consists of a sequence of 0’s and 1’s. The length of the shortest sequence of 0’s and 1’s for which a computer calculates the desired result corresponds to the Kolmogorov complexity.

So if you want to determine the Kolmogorov complexity of 25,041,903, you can translate the various explanations (that it is a result of digit enumeration or prime factorization, a position in pi or the date of Kolmogorov’s birthday) into a computer program and count the characters required in the corresponding machine code.

And my earlier examples might have excluded an even simpler explanation for 25,041,903. Kolmogorov developed a systematic way to identify the shortest program. To do this, you give a computer a number, such as 25,041,903. The computer then runs through all possible algorithms one by one—starting with the smallest, which is coded with a 0 or 1. The computer does this until the formulated programs produce the desired result. The first program that returns the value 25,041,903, for example, is then the shortest. Its character length corresponds to the Kolmogorov complexity of 25,041,903.

A Pesky Paradox Destroys the Dream

At first glance, Solomonoff’s dream now seems to have been realized. With Kolmogorov complexity, it seems like any pattern in any data can be revealed.

But a paradox puts a wrench in the works. Philosopher Bertrand Russell attributed the problem in question to librarian G. G. Berry in 1908 —long before Solomonoff and Kolmogorov published their ideas. An example of Berry’s thought experiment is as follows: Suppose you have a dictionary with just 20 words, and you try to describe different numbers using these words—very similar to what Kolmogorov had in mind with computer programs. You can start to gradually define numbers using these 20 words. There are only a finite number of ways to combine the 20 words, so you can only describe a finite number of numbers. Because there are an infinite number of numbers, however, some of them will escape such a definition; you will eventually arrive at a number that cannot be described in just 20 words. But what if you use some of the 20 words to formulate the description “the smallest number that cannot be described in 20 words or less”?

This definition comprises only 12 words, creating a contradiction. What has gone wrong? It turns out that you cannot calculate how many words are needed to define a number. This seems like a cheap excuse at first, but in fact, the Berry paradox and Kolmogorov complexity are related to one of the most unintuitive features of mathematics: some truths cannot be proven . Or to put it another way: mathematics is incomplete.

Suppose there really is a computer program K that calculates the Kolmogorov complexity associated with each input. This program consists of one million characters. It does not have to be fast or efficient; it just has to work.

Now test the program and feed it with all possible inputs until you finally find a large number x whose complexity is two million. Then proceed in a similar way to the Berry paradox. You write a new computer program P that performs the following task: it systematically goes through all the strings and uses the program K to calculate the Kolmogorov complexity of the strings until it finds one with a complexity of two million.

The new program P depends directly on K and will therefore not contain many more characters than K . (In any case, it consists of less than two million characters.) But this means that a computer program with fewer than two million characters has been found that calculates a number with a complexity of two million—a contradiction.

If a logical argument generates a contradiction, at least one of the assumptions must be false. In this case, we have assumed that there is a program K that calculates the Kolmogorov complexity for every input. Therefore, there is only one possible conclusion: such a K cannot exist. It is impossible to find the shortest program that generates this input for every conceivable input.

A Happy Ending Is Possible Nonetheless

So 16-year-old Solomonoff’s dream was not realized. But even if the Kolmogorov complexity cannot be calculated for every input, the idea proves useful in many applications. Most special cases do not require an exact Kolmogorov complexity—an approximation will suffice. Experts usually use compression programs for this. In situations that call for Kolmogorov complexity, “you can instead feed your data into a compression program, say using gzip or saving your image as a .gif file, and use that as a crude approximation,” computer scientist Scott Aaronson of the University of Texas at Austin told Plus .

For example, if you want to find out whether two sequences of numbers, x and y (which can correspond to measurement data, for example), are related, you can first compress x and y individually and then append both sequences together and compress xy . If the compression of xy is barely greater than the individual compressions of x or y , then there must be correlations between the number sequences—and you have clues to hidden patterns.

Kolmogorov complexity can also be used to determine how random a particular sequence of numbers is. For example, the three eight-digit numbers 25,041,903, 47,395,929 and 10,101,010 could have been generated by a random-number generator—even if they do not all appear to be equally random. The probability of generating each of these three numbers by chance is the same: in the number range from 00000000 to 99,999,999, there is a probability of 1 in 10 8 that you will come across one of these values. But 10,101,010 has a clear pattern, as does 25,041,903, which corresponds to a date of birth. By calculating the Kolmogorov complexity of the numbers, it is possible to assess whether they follow a certain pattern—and whether a random-number generator works reliably.

Unfortunately, Kolmogorov complexity does not answer the question of “ life, the universe and everything .” If we are to believe science-fiction author Douglas Adams, then the answer to that question is 42 . But curiously, the number 42 is not particularly complex—it can be calculated using the Kolmogorov complexity.

This article originally appeared in Spektrum der Wissenschaft and was reproduced with permission.

Photo by mauribo/Getty

Problem-solving matter

Life is starting to look a lot less like an outcome of chemistry and physics, and more like a computational process.

by David C Krakauer & Chris Kempes   + BIO

What makes computation possible? Seeking answers to that question, a hardware engineer from another planet travels to Earth in the 21st century. After descending through our atmosphere, this extraterrestrial explorer heads to one of our planet’s largest data centres, the China Telecom-Inner Mongolia Information Park, 470 kilometres west of Beijing. But computation is not easily discovered in this sprawling mini-city of server farms. Scanning the almost-uncountable transistors inside the Information Park, the visiting engineer might­ be excused for thinking that the answer to their question lies in the primary materials driving computational processes: silicon and metal oxides. After all, since the 1960s, most computational devices have relied on transistors and semiconductors made from these metalloid materials.

If the off-world engineer had visited Earth several decades earlier, before the arrival of metal-oxide transistors and silicon semiconductors, they might have found entirely different answers to their question. In the 1940s, before silicon semiconductors, computation might appear as a property of thermionic valves made from tungsten, molybdenum, quartz and silica – the most important materials used in vacuum tube computers.

And visiting a century earlier, long before the age of modern computing, an alien observer might come to even stranger conclusions. If they had arrived in 1804, the year the Jacquard loom was patented, they might have concluded that early forms of computation emerged from the plant matter and insect excreta used to make the wooden frames, punch cards and silk threads involved in fabric-weaving looms, the analogue precursors to modern programmable machines.

But if the visiting engineer did come to these conclusions, they would be wrong. Computation does not emerge from silicon, tungsten, insect excreta or other materials. It emerges from procedures of reason or logic.

This speculative tale is not only about the struggles of an off-world engineer. It is also an analogy for humanity’s attempts to answer one of our most difficult problems: life. For, just as an alien engineer would struggle to understand computation through materials, so it is with humans studying our distant origins.

Today, doubts about conventional explanations of life are growing and a wave of new general theories has emerged to better define our origins. These suggest that life doesn’t only depend on amino acids, DNA, proteins and other forms of matter. Today, it can be digitally simulated, biologically synthesised or made from entirely different materials to those that allowed our evolutionary ancestors to flourish. These and other possibilities are inviting researchers to ask more fundamental questions: if the materials for life can radically change – like the materials for computation – what stays the same? Are there deeper laws or principles that make life possible?

O ur planet appears to be exceptionally rare. Of the thousands that have been identified by astronomers, only one has shown any evidence of life. Earth is, in the words of Carl Sagan , a ‘lonely speck in the great enveloping cosmic dark’. This apparent loneliness is an ongoing puzzle faced by scientists studying the origin and evolution of life: how is it possible that only one planet has shown incontrovertible evidence of life, even though the laws of physics are shared by all known planets, and the elements in the periodic table can be found across the Universe?

The answer, for many, is to accept that Earth really is as unique as it appears: the absence of life elsewhere in the Universe can be explained by accepting that our planet is physically and chemically unlike the many other planets we have formally identified. Only Earth, so the argument goes, produced the special material conditions conducive to our rare chemistry, and it did so around 4 billion years ago, when life first emerged.

Stanley Miller in his laboratory in 1970. Courtesy and © SIO Photographic Laboratory Collection, SAC 44, UC San Diego

In 1952, Stanley Miller and his supervisor Harold Urey provided the first experimental evidence for this idea through a series of experiments at the University of Chicago. The Miller-Urey experiment, as it became known, sought to recreate the atmospheric conditions of early Earth through laboratory equipment, and to test whether organic compounds (amino acids) could be created in a reconstructed inorganic environment. When their experiment succeeded, the emergence of life became bound to the specific material conditions and chemistry on our planet, billions of years ago.

Genetic evolution also involves problem-solving: insect wings solve the ‘problem’ of flight

However, more recent research suggests there are likely countless other possibilities for how life might emerge through potential chemical combinations. As the British chemist Lee Cronin , the American theoretical physicist Sara Walker and others have recently argued , seeking near-miraculous coincidences of chemistry can narrow our ability to find other processes meaningful to life. In fact, most chemical reactions, whether they take place on Earth or elsewhere in the Universe, are not connected to life. Chemistry alone is not enough to identify whether something is alive, which is why researchers seeking the origin of life must use other methods to make accurate judgments.

Today, ‘adaptive function’ is the primary criterion for identifying the right kinds of biotic chemistry that give rise to life, as the theoretical biologist Michael Lachmann (our colleague at the Santa Fe Institute) likes to point out. In the sciences, adaptive function refers to an organism’s capacity to biologically change, evolve or, put another way, solve problems. ‘Problem-solving’ may seem more closely related to the domains of society, culture and technology than to the domain of biology. We might think of the problem of migrating to new islands , which was solved when humans learned to navigate ocean currents, or the problem of plotting trajectories , which our species solved by learning to calculate angles, or even the problem of shelter, which we solved by building homes. But genetic evolution also involves problem-solving. Insect wings solve the ‘problem’ of flight. Optical lenses that focus light solve the ‘problem’ of vision. And the kidneys solve the ‘problem’ of filtering blood. This kind of biological problem-solving – an outcome of natural selection and genetic drift – is conventionally called ‘adaptation’ . Though it is crucial to the evolution of life, new research suggests it may also be crucial to the origins of life.

This problem-solving perspective is radically altering our knowledge of the Universe. Life is starting to look a lot less like an outcome of chemistry and physics, and more like a computational process.

T he idea of life as a kind of computational process has roots that go back to the 4th century BCE, when Aristotle introduced his philosophy of hylomorphism in which functions take precedence over forms. For Aristotle, abilities such as vision were less about the biological shape and matter of eyes and more about the function of sight. It took around 2,000 years for his idea of hylomorphic functions to evolve into the idea of adaptive traits through the work of Charles Darwin and others. In the 19th century, these naturalists stopped defining organisms by their material components and chemistry, and instead began defining traits by focusing on how organisms adapted and evolved – in other words, how they processed and solved problems. It would then take a further century for the idea of hylomorphic functions to shift into the abstract concept of computation through the work of Alan Turing and the earlier ideas of Charles Babbage.

In the 1930s, Turing became the first to connect the classical Greek idea of function to the modern idea of computation, but his ideas were impossible without the work of Babbage, a century before. Important for Turing was the way Babbage had marked the difference between calculating devices that follow fixed laws of operation, which Babbage called ‘Difference Engines’, and computing devices that follow programmable laws of operation, which he called ‘Analytical Engines’.

Using Babbage’s distinction, Turing developed the most general model of computation: the universal Turing Machine. In 1936, he imagined this machine much like a tape recorder, comprising a reading and erasing head fed with an infinitely long tape. As this tape passes through the machine, single bits of information (momentarily stored in the machine) are read or written onto it. Both machine and tape jointly determine which bit will be read or written next.

It can be difficult for outsiders to understand how these incommensurable ideas are connected to each other

Turing did not describe any of the materials out of which such a machine would be built. He had little interest in chemistry beyond the physical requirement that a computer store, read and write bits reliably. That is why, amazingly, this simple (albeit infinite) programmable machine is an abstract model of how our powerful modern computers work. But the theory of computation Turing developed can also be understood as a theory of life. Both computation and life involve a minimal set of algorithms that support adaptive function. These ‘algorithms’ help materials process information, from the rare chemicals that build cells to the silicon semiconductors of modern computers. And so, as some research suggests, a search for life and a search for computation may not be so different. In both cases, we can be side-tracked if we focus on materials, on chemistry, physical environments and conditions.

In response to these concerns, a set of diverse ideas has emerged to explain life anew, through principles and processes shared with computation, rather than the rare chemistry and early Earth environments simulated in the Miller-Urey experiment. What drives these ideas, developed over the past 60 years by researchers working in disparate disciplines – including physics, computer science, astrobiology, synthetic biology, evolutionary science, neuroscience and philosophy – is a search for the fundamental principles that drive problem-solving matter. Though researchers have been working in disconnected fields and their ideas seem incommensurable, we believe there are broad patterns to their research on the origins of life. However, it can be difficult for outsiders to understand how these seemingly incommensurable ideas are connected to each other or why they are significant. This is why we have set out to review and organise these new ways of thinking.

Their proposals can be grouped into three distinct categories, three hypotheses, which we have named Tron, Golem and Maupertuis. The Tron hypothesis suggests that life can be simulated in software, without relying on the material conditions that gave rise to Earth’s living things. The Golem hypothesis suggests that life can be synthesised using different materials to those that first set our evolutionary history moving. And, if these two ideas are correct and life is not bound to the rare chemistry of Earth, we then have the Maupertuis hypothesis, the most radical of the three, which explores the fundamental laws involved in the origins of complex computational systems.

These hypotheses suggest that deep principles govern the emergence of problem-solving matter, principles that push our understanding of modern physics and chemistry towards their limits. They mark a radical departure from life as we once knew it.

I n 1982, the science-fiction film Tron was released in the United States. Directed by Steven Lisberger, it told the story of biological beings perfectly and functionally duplicated in a computer program. The hero, Tron, is a human-like algorithm subsisting on circuits, who captures the essential features of living without relying on biotic chemistry. What we have called the ‘Tron hypothesis’ is the idea that a fully realised simulation of life can be created in software, freed from the rare chemistry of Earth. It asks what the principles of life might be when no chemical traces can be relied upon for clues. Are the foundations of life primarily informational?

Five years after Tron was first released in cinemas, the American computer scientist Christopher Langton introduced the world to a concept he called ‘artificial life’ or ‘ALife’ at a workshop he organised on the simulation of living systems. For Langton, ALife was a way of focusing on the synthesis of life rather than analytical descriptions of evolved life. It offered him a means of moving beyond ‘life as we know it’ to what he called ‘life as it could be’. The goal, in his own words , was to ‘recreate biological phenomena in alternative media’, to create lifelike entities through computer software.

Langton’s use of computers as laboratory tools followed the work of two mathematicians: Stanisław Ulam and John von Neumann, who both worked on the Manhattan Project. In the late 1940s, Ulam and von Neumann began a series of experiments on early computers that involved simulating growth using simple rules. Through this work, they discovered the concept of cellular automata, a model of computation and biological life. Ulam was seeking a way of creating a simulated automaton that could reproduce itself, like a biological organism, and von Neumann later connected the concept of cellular automata to the search for the origins of life. Using this concept, von Neumann framed life’s origins as Turing had earlier done with computation, by looking for the abstract principles governing what he called ‘construction’: ie, biological evolution and development. Complicated forms of construction build patterns of the kind that we associate with organismal life, such as cell growth, or the growth of whole individuals. A much simpler form of construction can be achieved on a computer using a copy-and-paste operation. In the 20th century, von Neumann’s insights about a self-replicating cellular automaton, a ‘universal constructor’, were deemed too abstract to help our understanding of life’s chemical origins. They also seemed to have little to say about biological processes such as adaptation and natural selection.

A computer program called Avida simulated evolutionary processes

The ALife research that followed the work of Ulam, von Neumann and Langton generated a slew of fascinating formal and philosophical questions. But, like the work of von Neumann, these questions have had a limited and short-lived impact on researchers actively working on the origins of life. At the end of the 20th century, several pioneers in ALife, including the American philosopher Mark Bedau, lamented the lack of progress on these questions in an influential paper titled ‘Open Problems in Artificial Life’. The unanswered problems identified by Bedau and his eight co-authors included generating ‘a molecular proto-organism in vitro’, achieving ‘the transition to life in an artificial chemistry in silico’, demonstrating ‘the emergence of intelligence and mind in an artificial living system’ and, among other things, evaluating ‘the influence of machines on the next major evolutionary transition of life’.

These open problems went unanswered, and this paper is coincident with the decline of the field. Following its publication, many of the authors embarked on different research careers, either jumping from artificial life into the adjacent field of evolutionary theory, or pursuing research projects involving chemistry rather than software and hardware.

Nevertheless, ALife produced some very sophisticated models and ideas. In the same year that Bedau and his colleagues identified problems, another group of researchers demonstrated the heights that artificial life had reached at the turn of the century. In their research paper ‘Evolution of Biological Complexity’ (2000), this group, led by the physics theorist Christoph Adami, wrote about a computer program called Avida that simulated evolutionary processes. ‘The Avida system,’ Adami and his co-authors wrote, ‘hosts populations of self-replicating computer programs in a complex and noisy environment, within a computer’s memory.’ They called these programs ‘digital organisms’, and described how they could evolve (and mutate) in seconds through programmed instructions. Each Avida organism was a single simulated genome composed of ‘a sequence of instructions that are processed as commands to the CPU of a virtual computer.’

A screenshot of the Avida software that simulates evolutionary processes. Courtesy Wikipedia

The Tron hypothesis seemed to hold promise. But, in the end, the work of Adami and others made more important contributions to population genetics and theoretical ecology rather than research on the origins of life. This work helped bridge fundamental theorems in computation with abstract biological concepts, such as birth, competition and death, but has not broken prebiotic chemistry’s hold over dominant conceptions of life.

In recent years, things have begun to change as new concepts from physics are expanding the standard Tron hypothesis. In 2013, the physicist David Deutsch published a paper on what he called ‘constructor theory’. This theory proposed a new way of approaching physics in which computation was foundational to the Universe, at a deeper level than the laws of quantum physics or general relativity. Deutsch hoped the theory would renovate dominant ideas in conventional physics with a more general framework that eliminated many glitches, particularly in relation to quantum mechanics and statistical mechanics, while establishing a foundational status for computation. He also wanted to do all of this by providing a rigorous and consistent framework for possible and impossible transformations, which include phenomena like the movement of a body through space or the transition from a lifeless to a living planet. Constructor theory does not provide a quantitative model or offer predictions for how these transformations will happen. It is a qualitative framework for talking about possibility; it explains what can and can’t happen in the Universe in a way that goes beyond the laws of conventional physics. Deutsch’s theory is a provocative vision, and many questions remain about its utility.

Deutsch’s theory builds on von Neumann’s construction-replication model for life – the original Tron hypothesis – which in turn is built on Turing’s model of computation. Through Deutsch’s theory we begin moving away from principles of simulation as pursued through Avida organisms and silicon-based evolution, and head toward larger conceptual ideas about how life might form. Constructor theory, and other similar ideas, may be necessary for understanding the deeper origins of life, which conventional physics and chemistry have failed to adequately explain.

I t is one thing to simulate life or identify the principles inherent in these simulations. It is another thing to synthesise life. In comparison with life simulated through software, the Golem hypothesis states that a synthetic life-form can be built from novel chemical constituents different to those that gave rise to the complex forms of life on Earth. This hypothesis is named after a mythical being from Jewish folklore that lives and breathes despite being wholly made from inanimate materials, typically mud. Brought to life by inscribing its forehead with a magical word, such as emét (‘truth’ in Hebrew), the golem is a form of engineered life constructed from a process different from evolution. If Tron emphasises information, then the Golem emphasises energy – it’s a way of binding information to metabolism.

In the novel The Golem (1913-14), Gustav Meyrink wrote: ‘There is nothing mysterious about it at all. It is only magic and sorcery – kishuf – that frighten men; life itches and burns like a hairshirt.’ For our purposes, the golem is an analogy for synthetic life. It is a living thing grounded in generative mud, and an abstract representation of what is possible with synthetic biology and protocells.

In the early 21st century, interest in such ‘mud’ became more popular as the limitations of ALife inspired a renewed interest in the role of different kinds of materials and metabolism to those found on the prebiotic Earth. In 2005, the American chemists Steven A Benner and Michael Sismour described the two kinds of synthetic biologists who were working on problems of life: ‘One uses unnatural molecules to reproduce emergent behaviours from natural biology, with the goal of creating artificial life. The other seeks interchangeable parts from natural biology to assemble into systems that function unnaturally.’ If the latter are testing the Tron hypothesis, the former are testing the Golem hypothesis.

Assembly theory helps us understand how all the objects of chemistry and biology are made

One of the best examples of life-like synthetic biology is the creation of genetic systems in which synthetic DNA alphabets are supported by an engineered expansion of the Watson-Crick double-stranded base-pairing mechanism. This does not involve the creation of an alternative biochemistry in a laboratory but simply the chemical synthesis of an augmented, evolvable system. In fact, all successful efforts to date in synthetic biology derive from augmentation, not creation.

The Golem hypothesis raises important questions: if life can be made from materials unlike those that gave rise to life as we know it, what are the shared principles that give rise to all living things? What are the universal properties of life-supporting chemistry?

The recent development of assembly theory offers us a way to begin answering these questions. Assembly theory helps us understand how all the objects of chemistry and biology are made. Each complex object in the Universe, from microscopic algae to towering skyscrapers, is built from unique parts, involving combinations of molecules. Assembly theory helps us understand how these parts and objects are combined, and how each generation of complexity relies on earlier combinations. Because this theory allows us to measure the ‘assembly index’ of an object – how ‘assembled’ it is; how complex its parts are – we can make determinations about evolution that are separate from those normally used to define life.

In this framework, one can identify objects that are the outcome of an evolutionary process through the number of assembly steps that have been taken, without having a prior model or knowing the details of the process. The requirements are: first, that an object can be decomposed into building blocks; second, a minimal rule-set exists for joining blocks together; and third, sequences exist that describe the assembly of these building blocks into the object, where intermediate objects can be reused as new building blocks in the construction process. Very small assembly indices are characteristic of the pure physical and chemical dynamics that produce crystals or planets, but large indices in a large population of objects are taken as evidence for an evolutionary process – and a sign of life . In some ways, assembly theory is a version of the Golem hypothesis: through it we can potentially locate forms of life constructed from a process other than evolution. The idea is that a complex entity, such as a golem, requires a significant amount of time, energy and information to be assembled, and the assembly index is a measure of these requirements. This theory allows us to map certain computational concepts in such a way that we can find the shared signature of a problem-solving process.

The golem shows us how varied living materials are likely to be in the Universe, and how the focus on a limited set of materials is likely to be overly narrow. Assembly theory shows us how any historical process will leave universal imprints on materials, no matter how diverse those materials are.

T he Tron and Golem hypotheses are challenging and bold, but there are perhaps even more radical ideas about the origins of life. These ideas suggest that the emergence of complex computational systems (ie, life) in the Universe may be governed by deeper principles than we previously assumed. Organisms may have a more general objective than adaptation. What if life-forms arise not from a series of adaptive accidents, such as mutation and selection, but by attempting to solve a problem? We call this the Maupertuis hypothesis. It addresses how life might proliferate across the Universe even without the specific conditions found on Earth. So, what is this shared problem? The Maupertuis hypothesis suggests that, building on the second law of thermodynamics, life might be the Universe’s way of reaching thermodynamic equilibrium more quickly. It might be how the Universe ‘solves’ the problem of processing energy more effectively.

Pierre-Louis Moreau de Maupertuis was an 18th-century French mathematician and philosopher who formulated the ‘principle of least action’, which explains the simple trajectories of light and physical objects in space and time. In both cases, nature reveals an economy of means: light follows the fastest path between two points; physical objects move in a way that requires the least energy. And so, according to what we are calling the Maupertuis hypothesis, life can also be understood in a similar way, as the minimisation or maximisation of certain quantities. Research into the origins of life can be thought of as a search for these quantities.

For example, evolution by natural selection is a process in which repeated rounds of survival cause dominant genotypes to encode more and more information about their environment. This creates organisms that seem to be maximising adaptive information while conserving metabolic energy. And, in the process, these organisms hasten the production of entropy in the Universe. It is possible to abstract this dynamic in terms of Bayesian statistics. From this perspective, a population of evolving organisms behaves like a sampling process, with each generation selecting from the possible range of genetic variants. Over many generations, the population can update its collective ‘knowledge’ of the world through repeated rounds of differential survival (or ‘natural selection’).

‘Free energy’ is a kind of measurement of uncertainty: the difference between a prediction and an outcome

This Bayesian thinking led to the free-energy principle, proposed by the neuroscientist Karl Friston in 2005. His principle has become foundational to what we are calling the Maupertuis hypothesis. Like constructor theory, the free-energy principle seeks to provide a unifying framework for all living systems. Friston’s principle extends ideas from Bayesian statistics (estimating parameters) and statistical mechanics (minimising cost functions) to describe any process of learning or adaptation, whether in humans, organisms or other living systems.

His framework seeks to explain how these living systems are driven to minimise uncertainty about their environment by learning to make better predictions. For Friston, ‘free energy’ is a kind of measurement of uncertainty: the difference between a prediction and an outcome. The larger the difference, the higher the free energy. In Friston’s framework, a living system is simply any dynamical system that can be shown to minimise free energy, to minimise uncertainty. A rock rolling down a hill is minimising potential energy but certainly not Fristonian free energy – rocks do not learn to make better predictions about their environments. However, a bacterium swimming along a nutrient gradient is minimising free energy as it extracts information from its environment to record the position of its food. A bacterium is like a rock that infers.

If one is willing to accept the idea that modelling the world – by extracting information and making inferences about the environment – is constitutive of life, then life should arise everywhere and rather effortlessly. Like the principle of least action, which underpins all theories in physics, Friston’s idea suggests that minimising free energy is the action supporting every candidate form of life. And this includes biological organisms, societies and technologies. From this perspective, even machine learning models such as ChatGPT are candidate life-forms because they can take action in the world (fill it with their texts), perceive these changes during training, and learn new internal states to minimise free energy.

A ccording to the Maupertuis hypothesis, living things are not limited to biological entities, but are, in a more general sense, machines capable of transmitting adaptive solutions to successive generations through the minimisation of free energy. Put another way, living things are capable of transmitting information from their past to their future. If that is true, then how do we define the boundaries of living things? What counts as an individual?

The information theory of individuality, developed by David Krakauer and colleagues from Santa Fe Institute in New Mexico and collaborators from the Max Planck Institute in Leipzig in 2020, addresses this question. Responding to ideas such as Friston’s free-energy principle, we proposed that there are more fundamental ‘individuals’ than the seemingly discrete forms of life around us. These individuals are defined by their ability to transmit adaptive information through time. We call them ‘Maupertuis particles’ for the way they play a role comparable to particles moving within fields in a physical theory – like a mass moving in a gravitational field. These individuals do not need to be biological. All they need to do is transmit adaptive solutions to successive generations.

Individuals are dynamical processes that encode adaptive information

Life relies on making copies, which progressively adjust to their environment with each new generation. In traditional approaches to the origin of life, mechanisms of replication are particularly important, such as the copying of a gene within a cell. However, replication can take many other forms. The copying of a gene within a cell is just chemistry’s way of approximating the broader informational function of Maupertuis particles. Even within biology, there are many kinds of individuals: viruses that outsource most of their replication machinery to host genomes, microbial mats in which horizontal gene-transfer erodes the informatic boundary of the cell, and eusocial insects where sterile workers support a fertile queen who produces future descendants. According to the information theory of individuality, individuals can be built from different chemical foundations. What matters is that life is defined by adaptive information. The Maupertuis hypothesis allows new possibilities for what counts as a living thing: new forms and degrees of individuality.

So how do we find these individuals? According to the information theory of individuality, individuals are dynamical processes that encode adaptive information. To understand how these might be discovered, consider how different objects in our Universe are detected at different wavelengths of light. Many features of life, such as the heat signatures of metabolic activity, become visible only at higher wavelengths. Others, such as carbon flux, are visible at lower wavelengths. In the same way, individuals are detected by different ‘informational frequencies’. Each life form possesses a different frequency-spectrum, with each type forming increasingly strong correlations in space (larger and larger adaptations) and time (longer and longer heredity). Even within the same chemical processes, multiple different individuals can be found depending on the choice of informational filter used. Consider a multicellular organism – a human being. Viewed at a distance (using a kind of coarse-grain filter), it is a single coordinated entity. However, viewed up close (using a fine-grain filter), this single entity is teeming with somewhat independent tissues, cells and proteins. There are multiple scales of individuality.

So, what is the shared goal of these proliferating individuals? As they each expend metabolic energy to ensure reliable information-propagation, they accelerate the production of environmental entropy. In this way, by sharing adaptive information, each individual indirectly hastens the heat death of the Universe. By solving small problems locally, life creates big problems globally.

I s life problem-solving matter? When thinking about our biotic origins, it is important to remember that most chemical reactions are not connected to life, whether they take place here or elsewhere in the Universe. Chemistry alone is not enough to identify life. Instead, researchers use adaptive function – a capacity for solving problems – as the primary evidence and filter for identifying the right kinds of biotic chemistry. If life is problem-solving matter, our origins were not a miraculous or rare event governed by chemical constraints but, instead, the outcome of far more universal principles of information and computation. And if life is understood through these principles, then perhaps it has come into existence more often than we previously thought, driven by problems as big as the bang that started our abiotic universe moving 13.8 billion years ago.

The physical account of the origin and evolution of the Universe is a purely mechanical affair, explained through events such as the Big Bang, the formation of light elements, the condensation of stars and galaxies, and the formation of heavy elements. This account doesn’t involve objectives, purposes, or problems. But the physics and chemistry that gave rise to life appear to have been doing more than simply obeying the fundamental laws. At some point in the Universe’s history, matter became purposeful. It became organised in a way that allowed it to adapt to its immediate environment. It evolved from a Babbage-like Difference Engine into a Turing-like Analytical Engine. This is the threshold for the origin of life.

In the abiotic universe, physical laws, such as the law of gravitation, are like ‘calculations’ that can be performed everywhere in space and time through the same basic input-output operations. For living organisms, however, the rules of life can be modified or ‘programmed’ to solve unique biological problems – these organisms can adapt themselves and their environments. That’s why, if the abiotic universe is a Difference Engine, life is an Analytical Engine. This shift from one to the other marks the moment when matter became defined by computation and problem-solving. Certainly, specialised chemistry was required for this transition, but the fundamental revolution was not in matter but in logic.

In that moment, there emerged for the first time in the history of the Universe a big problem to give the Big Bang a run for its money. To discover this big problem – to understand how matter has been able to adapt to a seemingly endless range of environments – many new theories and abstractions for measuring, discovering, defining and synthesising life have emerged in the past century. Some researchers have synthesised life in silico. Others have experimented with new forms of matter. And others have discovered new laws that may make life as inescapable as physics.

It remains to be seen which will allow us to transcend the history of our planet.

Published in association with the Santa Fe Institute, an Aeon Strategic Partner.

For more information about the ideas in this essay, see Chris Kempes and David Krakauer’s research paper ‘ The Multiple Paths to Multiple Life ’ (2021), and Sara Imari Walker’s book Life as No One Knows It: The Physics of Life’s Emergence (2024).

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