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Breaking down the 5 decision-making models

Decisions, decisions, decisions: 5 decision-making models.

Making effective decisions is a critical leadership quality . However, settling on the best course of action is often easier said than done. When instinct and reasoning alone aren't enough to pinpoint the best decision out of your available options, it can often be helpful to utilize a decision-making model.

A decision-making model works by walking you through the decision-making process — and there are several such models available for you to choose from.

To help you improve your problem-solving abilities and make better decisions, let's take a look at five proven decision-making models and when you should use them.

Defining decision-making models

Decision-making models are frameworks designed to help you analyze possible solutions to a problem so that you can make the best possible decision. Because different decision-making models take different approaches to this goal, it's important to match the model with your unique situation and leadership style.

Given that only 20% of team members say that their organization excels at decision-making, most organizations and team leaders have a lot of room to improve in this area. If you want to improve your decision-making approach, mastering the five decision-making models is a great place to start.

The 5 main decision-making models

There are five main decision-making models designed to help leaders analyze relevant information and make optimal decisions.

Once again, each of these models takes a unique approach to decision-making, so it is important to choose the model that will work best for you and your unique situation. With that said, let's take an in-depth look at each model and the situations where each one is most applicable.

1) Rational decision-making model

The rational decision-making model involves identifying the criteria that will have the biggest impact on your decision's outcome and then evaluating possible alternatives against those criteria. The steps of the rational decision-making model are:

• Step #1) Define the problem: You'll want to start by identifying the issue you are trying to solve or the goal you are trying to achieve with your decision.
• Step #2) Define criteria: The next step is to define the criteria you are looking for in your decision. For instance, if you are deciding on a new car, you might be looking for criteria such as space, fuel efficiency, and safety.
• Step #3) Weight your criteria: If all of the criteria you define are equally important to you, then you can skip this step. If some factors are more important, you will want to assign a numerical value to your criteria based on how important each factor is.
• Step #4) Generate alternatives: Having defined and weighted the criteria you are looking for, it's time to brainstorm ideas and develop a few alternatives that meet your criteria.
• Step #5) Evaluate your alternatives: For each possible solution you come up with, you should evaluate it against your criteria, giving extra consideration to the criteria you weighted more heavily.
• Step #6) Choose the best alternative: After evaluating all possible alternatives, select the option that best matches your weighted criteria.
• Step #7) Implement the decision: The next to last step in the rational decision-making model is simply putting your decision into practice.
• Step #8) Evaluate your results: It's essential to evaluate your results anytime you make a decision. Looking at your decision from a retrospective point of view can help you decide if you should use the same decision-making process in the future.

When to use this model

The rational decision-making model is best employed when you have numerous options to consider and plenty of time to evaluate them. One example of a scenario where this model might prove useful is choosing a new hire from a pool of candidates.

2) Bounded rationality decision-making model

Sometimes, taking action quickly and choosing a "good enough" option is better than getting bogged down in searching for the best possible solution. The bounded rationality decision-making model dictates that you should limit your options to a manageable set and then choose the first option that meets your criteria rather than conducting an exhaustive analysis of each one. Going with the first option that meets your minimum threshold of requirements is a process known as "satisficing." While this may not be the best process for every decision, a willingness to satisfice can prove valuable when time constraints limit you.

The bounded rationality decision-making model is best employed when time is of the essence. It's the best model to use when inaction is more costly than not making the best decision. For example, suppose your company has encountered an issue causing extended downtime. In that case, you may want to use the bounded rationality decision-making model to quickly identify the first acceptable solution since every minute wasted is costly.

3) Vroom-Yetton decision-making model

The Vroom-Yetton decision-making model presents seven "yes or no" questions for a decision-maker to answer followed by five decision-making styles for them to choose from. It's the most complex decision-making model on our list, requiring decision-makers to utilize a decision tree to arrive at the right decision-making style based on their answers to the model's questions.

Check out this helpful resource for a complete breakdown of the Vroom-Yetton decision-making model and a copy of the decision tree template you will need to use.

The Vroom-Yetton decision-making model was specifically designed for collaborative decision-making and is best employed when you involve multiple team members in the decision-making process. In fact, one of the main objectives of this model is to determine how much weight should be given to the input from a leader's subordinates.

4) Intuitive decision-making model

Have you ever heard that it's often best to go with your gut? While making decisions based only on instinct may not seem like the best idea to those who prefer a more careful and logical approach, there are plenty of instances where going with your gut is the best way forward.

For example, if you don't have much information to consider, instinct may be the only tool for finding the best solution that you have available. Likewise, trusting your instinct can often yield the best results in cases where you are already deeply experienced with the matter at hand since nothing hones instinct better than experience.

The intuitive decision-making model probably shouldn't be the first model you turn to when you need to make a decision, but there are instances where it can be useful. We've mentioned a couple already, including cases where there isn't enough information for you to make a more informed decision and instances where your own experience is more reliable than the available information.

The intuitive decision-making model can also be useful in cases where you don't have a lot of time and need to make a decision quickly.

5) The recognition primed model

The recognition primed model is similar to the intuitive decision-making model in that it relies heavily on the decision-maker's experience and instinct. However, the recognition primed model is a little more structured than intuitive decision-making and includes the following steps:

• Step #1) Analyze available information to identify possible solutions: The first step in the recognition primed model is to brainstorm possible solutions based on your available information.
• Step #2) Run scenarios through your head: For each possible solution, run the scenario through your head and see how it plays out.
• Step #3) Make a decision: The recognition primed model dictates that the solution that leads to the best possible outcome when you visualize it in your mind is the solution that you should choose.

Like the intuitive decision-making model, the recognition primed model works best in instances where:

• You don't have a lot of information available.
• You trust your instinct and experience.
• Time constraints are a factor.

With that said, using this model effectively does require a certain degree of creativity and imagination since you will have to visualize the outcome of each possible solution.

A note on decision-making biases

Anytime you are faced with an important decision, it is essential not to let biases get in your way. Biases might be rooted in prior experiences, but that doesn't inherently mean that they are grounded in facts. In many cases, avoiding biases is also key to making an ethical decision since biases can sometimes cause you to mistreat certain people and their ideas.

Understanding the different biases

Preventing biases from getting in the way of your decision-making skills starts with identifying the types of biases you need to be aware of, including:

• Confirmation bias: Confirmation bias entails favoring or focusing on information that confirms your pre-existing beliefs and ignoring information that runs counter to those beliefs. While it's important to trust your own experience and beliefs, you don't want to subconsciously favor information just because it aligns with what you already believe to be true.
• Availability bias: Information that is easily accessible in your memory often gets undue weight, and this is known as availability bias. One example of availability bias is overestimating the likelihood of an event just because you can remember a similar event happening to you in the past.
• Survivorship bias: Survivorship bias entails focusing only on the solutions that have generated success in the past. While it's important to consider past results, ignoring possible solutions just because they are unproven will place unnecessary constraints on your decision-making process.
• Anchoring bias: Anchoring bias is the tendency to "anchor" yourself to the first piece of information you learn. Information should not get extra weight just because you have known about it for longer, and new information can be equally important to consider.
• Halo effect: The halo effect occurs when positive experiences with or impressions of one aspect of a possible solution cause you to view the entire solution positively. Rather than being blinded by the positives, seek out and consider the negatives as well.

Define your decision-making process with Range

A lot goes into making good decisions, and the decision-making models we've covered in this article can serve as excellent tools for helping you find the best possible solution to any challenge.

No matter which model you go with, communication, collaboration, and organization are key to making good decisions.

With Range, leaders and team members alike are able to effortlessly organize their ideas, communicate back and forth, share important information, and make collaborative decisions. If you want to get started using powerful team management software to organize your decision-making process, sign up for Range today.

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Critical Thinking Models: A Comprehensive Guide for Effective Decision Making

Critical thinking models are valuable frameworks that help individuals develop and enhance their critical thinking skills . These models provide a structured approach to problem-solving and decision-making by encouraging the evaluation of information and arguments in a logical, systematic manner. By understanding and applying these models, one can learn to make well-reasoned judgments and decisions.

Key Takeaways

Fundamentals of critical thinking.

Definition and Importance

Core cognitive skills, influence of cognitive biases.

To counter the influence of cognitive biases, critical thinkers must be aware of their own assumptions and strive to apply consistent and objective evaluation criteria in their thinking process. The practice of actively recognizing and addressing cognitive biases promotes an unbiased and rational approach to problem-solving and decision-making.

The Critical Thinking Process

Stages of Critical Thinking

Values play a significant role in the critical thinking process. Critical thinkers assess the significance of moral, ethical, or cultural values shaping the issue, argument, or decision at hand. They determine whether these values align with the evidence and logic they have analyzed.

Application in Decision Making

Critical thinking models, the red model.

The RED Model stands for Recognize Assumptions, Evaluate Arguments, and Draw Conclusions. It emphasizes the importance of questioning assumptions, weighing evidence, and reaching logical conclusions.

Bloom’s Taxonomy

Bloom’s Taxonomy is a hierarchical model that classifies cognitive skills into six levels of complexity. These levels are remembering, understanding, applying, analyzing, evaluating, and creating. By progressing through these levels, individuals can develop higher-order thinking skills.

Paul-Elder Model

The halpern critical thinking assessment.

These four critical thinking models can be used as frameworks to improve and enhance cognitive abilities. By learning and practicing these models, individuals can become better equipped to analyze complex information, evaluate options, and make well-informed decisions.

Evaluating Information and Arguments

Evidence assessment, logic and fallacies, argument analysis, enhancing critical thinking, strategies for improvement, critical thinking in education.

In the field of education, critical thinking is an essential component of effective learning and pedagogy. Integrating critical thinking into the curriculum encourages student autonomy, fosters innovation, and improves student outcomes. Teachers can use various approaches to promote critical thinking, such as:

Developing a Critical Thinking Mindset

Critical thinking in various contexts, the workplace and beyond.

In the workplace context, critical thinkers are able to recognize assumptions, evaluate arguments, and draw conclusions, following models such as the RED model . They can also adapt their thinking to suit various scenarios, allowing them to tackle complex and diverse problems.

Creative and Lateral Thinking

In conclusion, critical thinking is a multifaceted skill that comprises various thought processes, including creative and lateral thinking. By embracing these skills, individuals can excel in the workplace and in their personal lives, making better decisions and solving problems effectively.

Overcoming Challenges

Recognizing and addressing bias.

By adopting these practices, individuals can minimize the impact of biases and enhance the overall quality of their critical thinking skills.

Dealing with Information Overload

By implementing these techniques, individuals can effectively manage information overload, enabling them to process and analyze data more effectively, leading to better decision-making.

Measuring Critical Thinking

Assessment tools and criteria.

Furthermore, criteria for assessing critical thinking often include precision, relevance, and the ability to gather and analyze relevant information. Some assessors utilize the Halpern Critical Thinking Assessment , which measures the application of cognitive skills such as deduction, observation, and induction in real-world scenarios.

The Role of IQ and Tests

Frequently asked questions, what are the main steps involved in the paul-elder critical thinking model.

The Paul-Elder Critical Thinking Model is a comprehensive framework for developing critical thinking skills. The main steps include: identifying the purpose, formulating questions, gathering information, identifying assumptions, interpreting information, and evaluating arguments. The model emphasizes clarity, accuracy, precision, relevance, depth, breadth, logic, and fairness throughout the critical thinking process. By following these steps, individuals can efficiently analyze and evaluate complex ideas and issues.

Can you list five techniques to enhance critical thinking skills?

What is the red model of critical thinking and how is it applied, how do the ‘3 c’s’ of critical thinking contribute to effective problem-solving.

The ‘3 C’s’ of critical thinking – Curiosity, Creativity, and Criticism – collectively contribute to effective problem-solving. Curiosity allows individuals to explore various perspectives and ask thought-provoking questions, while Creativity helps develop innovative solutions and unique approaches to challenges. Criticism, or the ability to evaluate and analyze ideas objectively, ensures that the problem-solving process remains grounded in logic and relevance.

What characteristics distinguish critical thinking from creative thinking?

What are some recommended books to help improve problem-solving and critical thinking skills, you may also like, critical thinking and goal setting, critical thinking for investing: how to use critical thinking to get the best results, philosophy behind critical thinking: a concise overview, critical thinking vs creative thinking, download this free ebook.

40 problem-solving techniques and processes

All teams and organizations encounter challenges. Approaching those challenges without a structured problem solving process can end up making things worse.

Proven problem solving techniques such as those outlined below can guide your group through a process of identifying problems and challenges , ideating on possible solutions , and then evaluating and implementing the most suitable .

In this post, you'll find problem-solving tools you can use to develop effective solutions. You'll also find some tips for facilitating the problem solving process and solving complex problems.

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What is problem solving?

Problem solving is a process of finding and implementing a solution to a challenge or obstacle. In most contexts, this means going through a problem solving process that begins with identifying the issue, exploring its root causes, ideating and refining possible solutions before implementing and measuring the impact of that solution.

For simple or small problems, it can be tempting to skip straight to implementing what you believe is the right solution. The danger with this approach is that without exploring the true causes of the issue, it might just occur again or your chosen solution may cause other issues.

Particularly in the world of work, good problem solving means using data to back up each step of the process, bringing in new perspectives and effectively measuring the impact of your solution.

Effective problem solving can help ensure that your team or organization is well positioned to overcome challenges, be resilient to change and create innovation. In my experience, problem solving is a combination of skillset, mindset and process, and it’s especially vital for leaders to cultivate this skill.

What is the seven step problem solving process?

A problem solving process is a step-by-step framework from going from discovering a problem all the way through to implementing a solution.

With practice, this framework can become intuitive, and innovative companies tend to have a consistent and ongoing ability to discover and tackle challenges when they come up.

You might see everything from a four step problem solving process through to seven steps. While all these processes cover roughly the same ground, I’ve found a seven step problem solving process is helpful for making all key steps legible.

We’ll outline that process here and then follow with techniques you can use to explore and work on that step of the problem solving process with a group.

The seven-step problem solving process is:

1. Problem identification 

The first stage of any problem solving process is to identify the problem(s) you need to solve. This often looks like using group discussions and activities to help a group surface and effectively articulate the challenges they’re facing and wish to resolve.

Be sure to align with your team on the exact definition and nature of the problem you’re solving. An effective process is one where everyone is pulling in the same direction – ensure clarity and alignment now to help avoid misunderstandings later.

2. Problem analysis and refinement

The process of problem analysis means ensuring that the problem you are seeking to solve is  the   right problem . Choosing the right problem to solve means you are on the right path to creating the right solution.

At this stage, you may look deeper at the problem you identified to try and discover the root cause at the level of people or process. You may also spend some time sourcing data, consulting relevant parties and creating and refining a problem statement.

Problem refinement means adjusting scope or focus of the problem you will be aiming to solve based on what comes up during your analysis. As you analyze data sources, you might discover that the root cause means you need to adjust your problem statement. Alternatively, you might find that your original problem statement is too big to be meaningful approached within your current project.

Remember that the goal of any problem refinement is to help set the stage for effective solution development and deployment. Set the right focus and get buy-in from your team here and you’ll be well positioned to move forward with confidence.

3. Solution generation

Once your group has nailed down the particulars of the problem you wish to solve, you want to encourage a free flow of ideas connecting to solving that problem. This can take the form of problem solving games that encourage creative thinking or techniquess designed to produce working prototypes of possible solutions. 

The key to ensuring the success of this stage of the problem solving process is to encourage quick, creative thinking and create an open space where all ideas are considered. The best solutions can often come from unlikely places and by using problem solving techniques that celebrate invention, you might come up with solution gold. 

4. Solution development

No solution is perfect right out of the gate. It’s important to discuss and develop the solutions your group has come up with over the course of following the previous problem solving steps in order to arrive at the best possible solution. Problem solving games used in this stage involve lots of critical thinking, measuring potential effort and impact, and looking at possible solutions analytically. 

During this stage, you will often ask your team to iterate and improve upon your front-running solutions and develop them further. Remember that problem solving strategies always benefit from a multitude of voices and opinions, and not to let ego get involved when it comes to choosing which solutions to develop and take further.

Finding the best solution is the goal of all problem solving workshops and here is the place to ensure that your solution is well thought out, sufficiently robust and fit for purpose. 

5. Decision making and planning

Nearly there! Once you’ve got a set of possible, you’ll need to make a decision on which to implement. This can be a consensus-based group decision or it might be for a leader or major stakeholder to decide. You’ll find a set of effective decision making methods below.

Once your group has reached consensus and selected a solution, there are some additional actions that also need to be decided upon. You’ll want to work on allocating ownership of the project, figure out who will do what, how the success of the solution will be measured and decide the next course of action.

Set clear accountabilities, actions, timeframes, and follow-ups for your chosen solution. Make these decisions and set clear next-steps in the problem solving workshop so that everyone is aligned and you can move forward effectively as a group. 

Ensuring that you plan for the roll-out of a solution is one of the most important problem solving steps. Without adequate planning or oversight, it can prove impossible to measure success or iterate further if the problem was not solved. 

6. Solution implementation 

This is what we were waiting for! All problem solving processes have the end goal of implementing an effective and impactful solution that your group has confidence in.

Project management and communication skills are key here – your solution may need to adjust when out in the wild or you might discover new challenges along the way. For some solutions, you might also implement a test with a small group and monitor results before rolling it out to an entire company.

You should have a clear owner for your solution who will oversee the plans you made together and help ensure they’re put into place. This person will often coordinate the implementation team and set-up processes to measure the efficacy of your solution too.

7. Solution evaluation 

So you and your team developed a great solution to a problem and have a gut feeling it’s been solved. Work done, right? Wrong. All problem solving strategies benefit from evaluation, consideration, and feedback.

You might find that the solution does not work for everyone, might create new problems, or is potentially so successful that you will want to roll it out to larger teams or as part of other initiatives. 

None of that is possible without taking the time to evaluate the success of the solution you developed in your problem solving model and adjust if necessary.

Remember that the problem solving process is often iterative and it can be common to not solve complex issues on the first try. Even when this is the case, you and your team will have generated learning that will be important for future problem solving workshops or in other parts of the organization. 

It’s also worth underlining how important record keeping is throughout the problem solving process. If a solution didn’t work, you need to have the data and records to see why that was the case. If you go back to the drawing board, notes from the previous workshop can help save time.

What does an effective problem solving process look like?

Every effective problem solving process begins with an agenda . In our experience, a well-structured problem solving workshop is one of the best methods for successfully guiding a group from exploring a problem to implementing a solution.

The format of a workshop ensures that you can get buy-in from your group, encourage free-thinking and solution exploration before making a decision on what to implement following the session.

This Design Sprint 2.0 template is an effective problem solving process from top agency AJ&Smart. It’s a great format for the entire problem solving process, with four-days of workshops designed to surface issues, explore solutions and even test a solution.

Check it for an example of how you might structure and run a problem solving process and feel free to copy and adjust it your needs!

For a shorter process you can run in a single afternoon, this remote problem solving agenda will guide you effectively in just a couple of hours.

Whatever the length of your workshop, by using SessionLab, it’s easy to go from an idea to a complete agenda . Start by dragging and dropping your core problem solving activities into place . Add timings, breaks and necessary materials before sharing your agenda with your colleagues.

The resulting agenda will be your guide to an effective and productive problem solving session that will also help you stay organized on the day!

Complete problem-solving methods

In this section, we’ll look at in-depth problem-solving methods that provide a complete end-to-end process for developing effective solutions. These will help guide your team from the discovery and definition of a problem through to delivering the right solution.

If you’re looking for an all-encompassing method or problem-solving model, these processes are a great place to start. They’ll ask your team to challenge preconceived ideas and adopt a mindset for solving problems more effectively.

Six Thinking Hats

Individual approaches to solving a problem can be very different based on what team or role an individual holds. It can be easy for existing biases or perspectives to find their way into the mix, or for internal politics to direct a conversation.

Six Thinking Hats is a classic method for identifying the problems that need to be solved and enables your team to consider them from different angles, whether that is by focusing on facts and data, creative solutions, or by considering why a particular solution might not work.

Like all problem-solving frameworks, Six Thinking Hats is effective at helping teams remove roadblocks from a conversation or discussion and come to terms with all the aspects necessary to solve complex problems.

The Six Thinking Hats   #creative thinking   #meeting facilitation   #problem solving   #issue resolution   #idea generation   #conflict resolution   The Six Thinking Hats are used by individuals and groups to separate out conflicting styles of thinking. They enable and encourage a group of people to think constructively together in exploring and implementing change, rather than using argument to fight over who is right and who is wrong.

Lightning Decision Jam

Featured courtesy of Jonathan Courtney of AJ&Smart Berlin, Lightning Decision Jam is one of those strategies that should be in every facilitation toolbox. Exploring problems and finding solutions is often creative in nature, though as with any creative process, there is the potential to lose focus and get lost.

Unstructured discussions might get you there in the end, but it’s much more effective to use a method that creates a clear process and team focus.

In Lightning Decision Jam, participants are invited to begin by writing challenges, concerns, or mistakes on post-its without discussing them before then being invited by the moderator to present them to the group.

From there, the team vote on which problems to solve and are guided through steps that will allow them to reframe those problems, create solutions and then decide what to execute on. 

By deciding the problems that need to be solved as a team before moving on, this group process is great for ensuring the whole team is aligned and can take ownership over the next stages. 

Lightning Decision Jam (LDJ)   #action   #decision making   #problem solving   #issue analysis   #innovation   #design   #remote-friendly   It doesn’t matter where you work and what your job role is, if you work with other people together as a team, you will always encounter the same challenges: Unclear goals and miscommunication that cause busy work and overtime Unstructured meetings that leave attendants tired, confused and without clear outcomes. Frustration builds up because internal challenges to productivity are not addressed Sudden changes in priorities lead to a loss of focus and momentum Muddled compromise takes the place of clear decision- making, leaving everybody to come up with their own interpretation. In short, a lack of structure leads to a waste of time and effort, projects that drag on for too long and frustrated, burnt out teams. AJ&Smart has worked with some of the most innovative, productive companies in the world. What sets their teams apart from others is not better tools, bigger talent or more beautiful offices. The secret sauce to becoming a more productive, more creative and happier team is simple: Replace all open discussion or brainstorming with a structured process that leads to more ideas, clearer decisions and better outcomes. When a good process provides guardrails and a clear path to follow, it becomes easier to come up with ideas, make decisions and solve problems. This is why AJ&Smart created Lightning Decision Jam (LDJ). It’s a simple and short, but powerful group exercise that can be run either in-person, in the same room, or remotely with distributed teams.

Problem Definition Process

While problems can be complex, the problem-solving methods you use to identify and solve those problems can often be simple in design. 

By taking the time to truly identify and define a problem before asking the group to reframe the challenge as an opportunity, this method is a great way to enable change.

Begin by identifying a focus question and exploring the ways in which it manifests before splitting into five teams who will each consider the problem using a different method: escape, reversal, exaggeration, distortion or wishful. Teams develop a problem objective and create ideas in line with their method before then feeding them back to the group.

This method is great for enabling in-depth discussions while also creating space for finding creative solutions too!

Problem Definition   #problem solving   #idea generation   #creativity   #online   #remote-friendly   A problem solving technique to define a problem, challenge or opportunity and to generate ideas.

The 5 Whys 

Sometimes, a group needs to go further with their strategies and analyze the root cause at the heart of organizational issues. An RCA or root cause analysis is the process of identifying what is at the heart of business problems or recurring challenges. 

The 5 Whys is a simple and effective method of helping a group go find the root cause of any problem or challenge and conduct analysis that will deliver results. 

By beginning with the creation of a problem statement and going through five stages to refine it, The 5 Whys provides everything you need to truly discover the cause of an issue.

The 5 Whys   #hyperisland   #innovation   This simple and powerful method is useful for getting to the core of a problem or challenge. As the title suggests, the group defines a problems, then asks the question “why” five times, often using the resulting explanation as a starting point for creative problem solving.

World Cafe is a simple but powerful facilitation technique to help bigger groups to focus their energy and attention on solving complex problems.

World Cafe enables this approach by creating a relaxed atmosphere where participants are able to self-organize and explore topics relevant and important to them which are themed around a central problem-solving purpose. Create the right atmosphere by modeling your space after a cafe and after guiding the group through the method, let them take the lead!

Making problem-solving a part of your organization’s culture in the long term can be a difficult undertaking. More approachable formats like World Cafe can be especially effective in bringing people unfamiliar with workshops into the fold. 

World Cafe   #hyperisland   #innovation   #issue analysis   World Café is a simple yet powerful method, originated by Juanita Brown, for enabling meaningful conversations driven completely by participants and the topics that are relevant and important to them. Facilitators create a cafe-style space and provide simple guidelines. Participants then self-organize and explore a set of relevant topics or questions for conversation.

Discovery & Action Dialogue (DAD)

One of the best approaches is to create a safe space for a group to share and discover practices and behaviors that can help them find their own solutions.

With DAD, you can help a group choose which problems they wish to solve and which approaches they will take to do so. It’s great at helping remove resistance to change and can help get buy-in at every level too!

This process of enabling frontline ownership is great in ensuring follow-through and is one of the methods you will want in your toolbox as a facilitator.

Discovery & Action Dialogue (DAD)   #idea generation   #liberating structures   #action   #issue analysis   #remote-friendly   DADs make it easy for a group or community to discover practices and behaviors that enable some individuals (without access to special resources and facing the same constraints) to find better solutions than their peers to common problems. These are called positive deviant (PD) behaviors and practices. DADs make it possible for people in the group, unit, or community to discover by themselves these PD practices. DADs also create favorable conditions for stimulating participants’ creativity in spaces where they can feel safe to invent new and more effective practices. Resistance to change evaporates as participants are unleashed to choose freely which practices they will adopt or try and which problems they will tackle. DADs make it possible to achieve frontline ownership of solutions.

Design Sprint 2.0

Want to see how a team can solve big problems and move forward with prototyping and testing solutions in a few days? The Design Sprint 2.0 template from Jake Knapp, author of Sprint, is a complete agenda for a with proven results.

Developing the right agenda can involve difficult but necessary planning. Ensuring all the correct steps are followed can also be stressful or time-consuming depending on your level of experience.

Use this complete 4-day workshop template if you are finding there is no obvious solution to your challenge and want to focus your team around a specific problem that might require a shortcut to launching a minimum viable product or waiting for the organization-wide implementation of a solution.

Open space technology

Open space technology- developed by Harrison Owen – creates a space where large groups are invited to take ownership of their problem solving and lead individual sessions. Open space technology is a great format when you have a great deal of expertise and insight in the room and want to allow for different takes and approaches on a particular theme or problem you need to be solved.

Start by bringing your participants together to align around a central theme and focus their efforts. Explain the ground rules to help guide the problem-solving process and then invite members to identify any issue connecting to the central theme that they are interested in and are prepared to take responsibility for.

Once participants have decided on their approach to the core theme, they write their issue on a piece of paper, announce it to the group, pick a session time and place, and post the paper on the wall. As the wall fills up with sessions, the group is then invited to join the sessions that interest them the most and which they can contribute to, then you’re ready to begin!

Everyone joins the problem-solving group they’ve signed up to, record the discussion and if appropriate, findings can then be shared with the rest of the group afterward.

Open Space Technology   #action plan   #idea generation   #problem solving   #issue analysis   #large group   #online   #remote-friendly   Open Space is a methodology for large groups to create their agenda discerning important topics for discussion, suitable for conferences, community gatherings and whole system facilitation

Techniques to identify and analyze problems

Using a problem-solving method to help a team identify and analyze a problem can be a quick and effective addition to any workshop or meeting.

While further actions are always necessary, you can generate momentum and alignment easily, and these activities are a great place to get started.

We’ve put together this list of techniques to help you and your team with problem identification, analysis, and discussion that sets the foundation for developing effective solutions.

Let’s take a look!

Fishbone Analysis

Organizational or team challenges are rarely simple, and it’s important to remember that one problem can be an indication of something that goes deeper and may require further consideration to be solved.

Fishbone Analysis helps groups to dig deeper and understand the origins of a problem. It’s a great example of a root cause analysis method that is simple for everyone on a team to get their head around. 

Participants in this activity are asked to annotate a diagram of a fish, first adding the problem or issue to be worked on at the head of a fish before then brainstorming the root causes of the problem and adding them as bones on the fish. 

Using abstractions such as a diagram of a fish can really help a team break out of their regular thinking and develop a creative approach.

Fishbone Analysis   #problem solving   ##root cause analysis   #decision making   #online facilitation   A process to help identify and understand the origins of problems, issues or observations.

Problem Tree 

Encouraging visual thinking can be an essential part of many strategies. By simply reframing and clarifying problems, a group can move towards developing a problem solving model that works for them. 

In Problem Tree, groups are asked to first brainstorm a list of problems – these can be design problems, team problems or larger business problems – and then organize them into a hierarchy. The hierarchy could be from most important to least important or abstract to practical, though the key thing with problem solving games that involve this aspect is that your group has some way of managing and sorting all the issues that are raised.

Once you have a list of problems that need to be solved and have organized them accordingly, you’re then well-positioned for the next problem solving steps.

Problem tree   #define intentions   #create   #design   #issue analysis   A problem tree is a tool to clarify the hierarchy of problems addressed by the team within a design project; it represents high level problems or related sublevel problems.

SWOT Analysis

Chances are you’ve heard of the SWOT Analysis before. This problem-solving method focuses on identifying strengths, weaknesses, opportunities, and threats is a tried and tested method for both individuals and teams.

Start by creating a desired end state or outcome and bare this in mind – any process solving model is made more effective by knowing what you are moving towards. Create a quadrant made up of the four categories of a SWOT analysis and ask participants to generate ideas based on each of those quadrants.

Once you have those ideas assembled in their quadrants, cluster them together based on their affinity with other ideas. These clusters are then used to facilitate group conversations and move things forward. 

SWOT analysis   #gamestorming   #problem solving   #action   #meeting facilitation   The SWOT Analysis is a long-standing technique of looking at what we have, with respect to the desired end state, as well as what we could improve on. It gives us an opportunity to gauge approaching opportunities and dangers, and assess the seriousness of the conditions that affect our future. When we understand those conditions, we can influence what comes next.

Agreement-Certainty Matrix

Not every problem-solving approach is right for every challenge, and deciding on the right method for the challenge at hand is a key part of being an effective team.

The Agreement Certainty matrix helps teams align on the nature of the challenges facing them. By sorting problems from simple to chaotic, your team can understand what methods are suitable for each problem and what they can do to ensure effective results. 

If you are already using Liberating Structures techniques as part of your problem-solving strategy, the Agreement-Certainty Matrix can be an invaluable addition to your process. We’ve found it particularly if you are having issues with recurring problems in your organization and want to go deeper in understanding the root cause. 

Agreement-Certainty Matrix   #issue analysis   #liberating structures   #problem solving   You can help individuals or groups avoid the frequent mistake of trying to solve a problem with methods that are not adapted to the nature of their challenge. The combination of two questions makes it possible to easily sort challenges into four categories: simple, complicated, complex , and chaotic .  A problem is simple when it can be solved reliably with practices that are easy to duplicate.  It is complicated when experts are required to devise a sophisticated solution that will yield the desired results predictably.  A problem is complex when there are several valid ways to proceed but outcomes are not predictable in detail.  Chaotic is when the context is too turbulent to identify a path forward.  A loose analogy may be used to describe these differences: simple is like following a recipe, complicated like sending a rocket to the moon, complex like raising a child, and chaotic is like the game “Pin the Tail on the Donkey.”  The Liberating Structures Matching Matrix in Chapter 5 can be used as the first step to clarify the nature of a challenge and avoid the mismatches between problems and solutions that are frequently at the root of chronic, recurring problems.

Organizing and charting a team’s progress can be important in ensuring its success. SQUID (Sequential Question and Insight Diagram) is a great model that allows a team to effectively switch between giving questions and answers and develop the skills they need to stay on track throughout the process. 

Begin with two different colored sticky notes – one for questions and one for answers – and with your central topic (the head of the squid) on the board. Ask the group to first come up with a series of questions connected to their best guess of how to approach the topic. Ask the group to come up with answers to those questions, fix them to the board and connect them with a line. After some discussion, go back to question mode by responding to the generated answers or other points on the board.

It’s rewarding to see a diagram grow throughout the exercise, and a completed SQUID can provide a visual resource for future effort and as an example for other teams.

SQUID   #gamestorming   #project planning   #issue analysis   #problem solving   When exploring an information space, it’s important for a group to know where they are at any given time. By using SQUID, a group charts out the territory as they go and can navigate accordingly. SQUID stands for Sequential Question and Insight Diagram.

To continue with our nautical theme, Speed Boat is a short and sweet activity that can help a team quickly identify what employees, clients or service users might have a problem with and analyze what might be standing in the way of achieving a solution.

Methods that allow for a group to make observations, have insights and obtain those eureka moments quickly are invaluable when trying to solve complex problems.

In Speed Boat, the approach is to first consider what anchors and challenges might be holding an organization (or boat) back. Bonus points if you are able to identify any sharks in the water and develop ideas that can also deal with competitors!   

Speed Boat   #gamestorming   #problem solving   #action   Speedboat is a short and sweet way to identify what your employees or clients don’t like about your product/service or what’s standing in the way of a desired goal.

The Journalistic Six

Some of the most effective ways of solving problems is by encouraging teams to be more inclusive and diverse in their thinking.

Based on the six key questions journalism students are taught to answer in articles and news stories, The Journalistic Six helps create teams to see the whole picture. By using who, what, when, where, why, and how to facilitate the conversation and encourage creative thinking, your team can make sure that the problem identification and problem analysis stages of the are covered exhaustively and thoughtfully. Reporter’s notebook and dictaphone optional.

The Journalistic Six – Who What When Where Why How   #idea generation   #issue analysis   #problem solving   #online   #creative thinking   #remote-friendly   A questioning method for generating, explaining, investigating ideas.

Individual and group perspectives are incredibly important, but what happens if people are set in their minds and need a change of perspective in order to approach a problem more effectively?

Flip It is a method we love because it is both simple to understand and run, and allows groups to understand how their perspectives and biases are formed. 

Participants in Flip It are first invited to consider concerns, issues, or problems from a perspective of fear and write them on a flip chart. Then, the group is asked to consider those same issues from a perspective of hope and flip their understanding.  

No problem and solution is free from existing bias and by changing perspectives with Flip It, you can then develop a problem solving model quickly and effectively.

Flip It!   #gamestorming   #problem solving   #action   Often, a change in a problem or situation comes simply from a change in our perspectives. Flip It! is a quick game designed to show players that perspectives are made, not born.

LEGO Challenge

Now for an activity that is a little out of the (toy) box. LEGO Serious Play is a facilitation methodology that can be used to improve creative thinking and problem-solving skills. 

The LEGO Challenge includes giving each member of the team an assignment that is hidden from the rest of the group while they create a structure without speaking.

What the LEGO challenge brings to the table is a fun working example of working with stakeholders who might not be on the same page to solve problems. Also, it’s LEGO! Who doesn’t love LEGO! 

LEGO Challenge   #hyperisland   #team   A team-building activity in which groups must work together to build a structure out of LEGO, but each individual has a secret “assignment” which makes the collaborative process more challenging. It emphasizes group communication, leadership dynamics, conflict, cooperation, patience and problem solving strategy.

What, So What, Now What?

If not carefully managed, the problem identification and problem analysis stages of the problem-solving process can actually create more problems and misunderstandings.

The What, So What, Now What? problem-solving activity is designed to help collect insights and move forward while also eliminating the possibility of disagreement when it comes to identifying, clarifying, and analyzing organizational or work problems. 

Facilitation is all about bringing groups together so that might work on a shared goal and the best problem-solving strategies ensure that teams are aligned in purpose, if not initially in opinion or insight.

Throughout the three steps of this game, you give everyone on a team to reflect on a problem by asking what happened, why it is important, and what actions should then be taken. 

This can be a great activity for bringing our individual perceptions about a problem or challenge and contextualizing it in a larger group setting. This is one of the most important problem-solving skills you can bring to your organization.

W³ – What, So What, Now What?   #issue analysis   #innovation   #liberating structures   You can help groups reflect on a shared experience in a way that builds understanding and spurs coordinated action while avoiding unproductive conflict. It is possible for every voice to be heard while simultaneously sifting for insights and shaping new direction. Progressing in stages makes this practical—from collecting facts about What Happened to making sense of these facts with So What and finally to what actions logically follow with Now What . The shared progression eliminates most of the misunderstandings that otherwise fuel disagreements about what to do. Voila!

Journalists  

Problem analysis can be one of the most important and decisive stages of all problem-solving tools. Sometimes, a team can become bogged down in the details and are unable to move forward.

Journalists is an activity that can avoid a group from getting stuck in the problem identification or problem analysis stages of the process.

In Journalists, the group is invited to draft the front page of a fictional newspaper and figure out what stories deserve to be on the cover and what headlines those stories will have. By reframing how your problems and challenges are approached, you can help a team move productively through the process and be better prepared for the steps to follow.

Journalists   #vision   #big picture   #issue analysis   #remote-friendly   This is an exercise to use when the group gets stuck in details and struggles to see the big picture. Also good for defining a vision.

Problem-solving techniques for brainstorming solutions

Now you have the context and background of the problem you are trying to solving, now comes the time to start ideating and thinking about how you’ll solve the issue.

Here, you’ll want to encourage creative, free thinking and speed. Get as many ideas out as possible and explore different perspectives so you have the raw material for the next step.

Looking at a problem from a new angle can be one of the most effective ways of creating an effective solution. TRIZ is a problem-solving tool that asks the group to consider what they must not do in order to solve a challenge.

By reversing the discussion, new topics and taboo subjects often emerge, allowing the group to think more deeply and create ideas that confront the status quo in a safe and meaningful way. If you’re working on a problem that you’ve tried to solve before, TRIZ is a great problem-solving method to help your team get unblocked.

Making Space with TRIZ   #issue analysis   #liberating structures   #issue resolution   You can clear space for innovation by helping a group let go of what it knows (but rarely admits) limits its success and by inviting creative destruction. TRIZ makes it possible to challenge sacred cows safely and encourages heretical thinking. The question “What must we stop doing to make progress on our deepest purpose?” induces seriously fun yet very courageous conversations. Since laughter often erupts, issues that are otherwise taboo get a chance to be aired and confronted. With creative destruction come opportunities for renewal as local action and innovation rush in to fill the vacuum. Whoosh!

Mindspin  

Brainstorming is part of the bread and butter of the problem-solving process and all problem-solving strategies benefit from getting ideas out and challenging a team to generate solutions quickly. 

With Mindspin, participants are encouraged not only to generate ideas but to do so under time constraints and by slamming down cards and passing them on. By doing multiple rounds, your team can begin with a free generation of possible solutions before moving on to developing those solutions and encouraging further ideation. 

This is one of our favorite problem-solving activities and can be great for keeping the energy up throughout the workshop. Remember the importance of helping people become engaged in the process – energizing problem-solving techniques like Mindspin can help ensure your team stays engaged and happy, even when the problems they’re coming together to solve are complex. 

MindSpin   #teampedia   #idea generation   #problem solving   #action   A fast and loud method to enhance brainstorming within a team. Since this activity has more than round ideas that are repetitive can be ruled out leaving more creative and innovative answers to the challenge.

The Creativity Dice

One of the most useful problem solving skills you can teach your team is of approaching challenges with creativity, flexibility, and openness. Games like The Creativity Dice allow teams to overcome the potential hurdle of too much linear thinking and approach the process with a sense of fun and speed. 

In The Creativity Dice, participants are organized around a topic and roll a dice to determine what they will work on for a period of 3 minutes at a time. They might roll a 3 and work on investigating factual information on the chosen topic. They might roll a 1 and work on identifying the specific goals, standards, or criteria for the session.

Encouraging rapid work and iteration while asking participants to be flexible are great skills to cultivate. Having a stage for idea incubation in this game is also important. Moments of pause can help ensure the ideas that are put forward are the most suitable. 

The Creativity Dice   #creativity   #problem solving   #thiagi   #issue analysis   Too much linear thinking is hazardous to creative problem solving. To be creative, you should approach the problem (or the opportunity) from different points of view. You should leave a thought hanging in mid-air and move to another. This skipping around prevents premature closure and lets your brain incubate one line of thought while you consciously pursue another.

Idea and Concept Development

Brainstorming without structure can quickly become chaotic or frustrating. In a problem-solving context, having an ideation framework to follow can help ensure your team is both creative and disciplined.

In this method, you’ll find an idea generation process that encourages your group to brainstorm effectively before developing their ideas and begin clustering them together. By using concepts such as Yes and…, more is more and postponing judgement, you can create the ideal conditions for brainstorming with ease.

Idea & Concept Development   #hyperisland   #innovation   #idea generation   Ideation and Concept Development is a process for groups to work creatively and collaboratively to generate creative ideas. It’s a general approach that can be adapted and customized to suit many different scenarios. It includes basic principles for idea generation and several steps for groups to work with. It also includes steps for idea selection and development.

Problem-solving techniques for developing and refining solutions 

The success of any problem-solving process can be measured by the solutions it produces. After you’ve defined the issue, explored existing ideas, and ideated, it’s time to develop and refine your ideas in order to bring them closer to a solution that actually solves the problem.

Use these problem-solving techniques when you want to help your team think through their ideas and refine them as part of your problem solving process.

Improved Solutions

After a team has successfully identified a problem and come up with a few solutions, it can be tempting to call the work of the problem-solving process complete. That said, the first solution is not necessarily the best, and by including a further review and reflection activity into your problem-solving model, you can ensure your group reaches the best possible result. 

One of a number of problem-solving games from Thiagi Group, Improved Solutions helps you go the extra mile and develop suggested solutions with close consideration and peer review. By supporting the discussion of several problems at once and by shifting team roles throughout, this problem-solving technique is a dynamic way of finding the best solution. 

Improved Solutions   #creativity   #thiagi   #problem solving   #action   #team   You can improve any solution by objectively reviewing its strengths and weaknesses and making suitable adjustments. In this creativity framegame, you improve the solutions to several problems. To maintain objective detachment, you deal with a different problem during each of six rounds and assume different roles (problem owner, consultant, basher, booster, enhancer, and evaluator) during each round. At the conclusion of the activity, each player ends up with two solutions to her problem.

Four Step Sketch

Creative thinking and visual ideation does not need to be confined to the opening stages of your problem-solving strategies. Exercises that include sketching and prototyping on paper can be effective at the solution finding and development stage of the process, and can be great for keeping a team engaged. 

By going from simple notes to a crazy 8s round that involves rapidly sketching 8 variations on their ideas before then producing a final solution sketch, the group is able to iterate quickly and visually. Problem-solving techniques like Four-Step Sketch are great if you have a group of different thinkers and want to change things up from a more textual or discussion-based approach.

Four-Step Sketch   #design sprint   #innovation   #idea generation   #remote-friendly   The four-step sketch is an exercise that helps people to create well-formed concepts through a structured process that includes: Review key information Start design work on paper,  Consider multiple variations , Create a detailed solution . This exercise is preceded by a set of other activities allowing the group to clarify the challenge they want to solve. See how the Four Step Sketch exercise fits into a Design Sprint

Ensuring that everyone in a group is able to contribute to a discussion is vital during any problem solving process. Not only does this ensure all bases are covered, but its then easier to get buy-in and accountability when people have been able to contribute to the process.

1-2-4-All is a tried and tested facilitation technique where participants are asked to first brainstorm on a topic on their own. Next, they discuss and share ideas in a pair before moving into a small group. Those groups are then asked to present the best idea from their discussion to the rest of the team.

This method can be used in many different contexts effectively, though I find it particularly shines in the idea development stage of the process. Giving each participant time to concretize their ideas and develop them in progressively larger groups can create a great space for both innovation and psychological safety.

1-2-4-All   #idea generation   #liberating structures   #issue analysis   With this facilitation technique you can immediately include everyone regardless of how large the group is. You can generate better ideas and more of them faster than ever before. You can tap the know-how and imagination that is distributed widely in places not known in advance. Open, generative conversation unfolds. Ideas and solutions are sifted in rapid fashion. Most importantly, participants own the ideas, so follow-up and implementation is simplified. No buy-in strategies needed! Simple and elegant!

15% Solutions

Some problems are simpler than others and with the right problem-solving activities, you can empower people to take immediate actions that can help create organizational change. 

Part of the liberating structures toolkit, 15% solutions is a problem-solving technique that focuses on finding and implementing solutions quickly. A process of iterating and making small changes quickly can help generate momentum and an appetite for solving complex problems.

Problem-solving strategies can live and die on whether people are onboard. Getting some quick wins is a great way of getting people behind the process.   

It can be extremely empowering for a team to realize that problem-solving techniques can be deployed quickly and easily and delineate between things they can positively impact and those things they cannot change. 

15% Solutions   #action   #liberating structures   #remote-friendly   You can reveal the actions, however small, that everyone can do immediately. At a minimum, these will create momentum, and that may make a BIG difference.  15% Solutions show that there is no reason to wait around, feel powerless, or fearful. They help people pick it up a level. They get individuals and the group to focus on what is within their discretion instead of what they cannot change.  With a very simple question, you can flip the conversation to what can be done and find solutions to big problems that are often distributed widely in places not known in advance. Shifting a few grains of sand may trigger a landslide and change the whole landscape.

Problem-solving techniques for making decisions and planning

After your group is happy with the possible solutions you’ve developed, now comes the time to choose which to implement. There’s more than one way to make a decision and the best option is often dependant on the needs and set-up of your group.

Sometimes, it’s the case that you’ll want to vote as a group on what is likely to be the most impactful solution. Other times, it might be down to a decision maker or major stakeholder to make the final decision. Whatever your process, here’s some techniques you can use to help you make a decision during your problem solving process.

How-Now-Wow Matrix

The problem-solving process is often creative, as complex problems usually require a change of thinking and creative response in order to find the best solutions. While it’s common for the first stages to encourage creative thinking, groups can often gravitate to familiar solutions when it comes to the end of the process. 

When selecting solutions, you don’t want to lose your creative energy! The How-Now-Wow Matrix from Gamestorming is a great problem-solving activity that enables a group to stay creative and think out of the box when it comes to selecting the right solution for a given problem.

Problem-solving techniques that encourage creative thinking and the ideation and selection of new solutions can be the most effective in organisational change. Give the How-Now-Wow Matrix a go, and not just for how pleasant it is to say out loud. 

How-Now-Wow Matrix   #gamestorming   #idea generation   #remote-friendly   When people want to develop new ideas, they most often think out of the box in the brainstorming or divergent phase. However, when it comes to convergence, people often end up picking ideas that are most familiar to them. This is called a ‘creative paradox’ or a ‘creadox’. The How-Now-Wow matrix is an idea selection tool that breaks the creadox by forcing people to weigh each idea on 2 parameters.

Impact and Effort Matrix

All problem-solving techniques hope to not only find solutions to a given problem or challenge but to find the best solution. When it comes to finding a solution, groups are invited to put on their decision-making hats and really think about how a proposed idea would work in practice. 

The Impact and Effort Matrix is one of the problem-solving techniques that fall into this camp, empowering participants to first generate ideas and then categorize them into a 2×2 matrix based on impact and effort.

Activities that invite critical thinking while remaining simple are invaluable. Use the Impact and Effort Matrix to move from ideation and towards evaluating potential solutions before then committing to them. 

Impact and Effort Matrix   #gamestorming   #decision making   #action   #remote-friendly   In this decision-making exercise, possible actions are mapped based on two factors: effort required to implement and potential impact. Categorizing ideas along these lines is a useful technique in decision making, as it obliges contributors to balance and evaluate suggested actions before committing to them.

If you’ve followed each of the problem-solving steps with your group successfully, you should move towards the end of your process with heaps of possible solutions developed with a specific problem in mind. But how do you help a group go from ideation to putting a solution into action? 

Dotmocracy – or Dot Voting -is a tried and tested method of helping a team in the problem-solving process make decisions and put actions in place with a degree of oversight and consensus. 

One of the problem-solving techniques that should be in every facilitator’s toolbox, Dot Voting is fast and effective and can help identify the most popular and best solutions and help bring a group to a decision effectively. 

Dotmocracy   #action   #decision making   #group prioritization   #hyperisland   #remote-friendly   Dotmocracy is a simple method for group prioritization or decision-making. It is not an activity on its own, but a method to use in processes where prioritization or decision-making is the aim. The method supports a group to quickly see which options are most popular or relevant. The options or ideas are written on post-its and stuck up on a wall for the whole group to see. Each person votes for the options they think are the strongest, and that information is used to inform a decision.

Straddling the gap between decision making and planning, MoSCoW is a simple and effective method that allows a group team to easily prioritize a set of possible options.

Use this method in a problem solving process by collecting and summarizing all your possible solutions and then categorize them into 4 sections: “Must have”, “Should have”, “Could have”, or “Would like but won‘t get”.

This method is particularly useful when its less about choosing one possible solution and more about prioritorizing which to do first and which may not fit in the scope of your project. In my experience, complex challenges often require multiple small fixes, and this method can be a great way to move from a pile of things you’d all like to do to a structured plan.

MoSCoW   #define intentions   #create   #design   #action   #remote-friendly   MoSCoW is a method that allows the team to prioritize the different features that they will work on. Features are then categorized into “Must have”, “Should have”, “Could have”, or “Would like but won‘t get”. To be used at the beginning of a timeslot (for example during Sprint planning) and when planning is needed.

When it comes to managing the rollout of a solution, clarity and accountability are key factors in ensuring the success of the project. The RAACI chart is a simple but effective model for setting roles and responsibilities as part of a planning session.

Start by listing each person involved in the project and put them into the following groups in order to make it clear who is responsible for what during the rollout of your solution.

• Responsibility  (Which person and/or team will be taking action?)
• Authority  (At what “point” must the responsible person check in before going further?)
• Accountability  (Who must the responsible person check in with?)
• Consultation  (Who must be consulted by the responsible person before decisions are made?)
• Information  (Who must be informed of decisions, once made?)

Ensure this information is easily accessible and use it to inform who does what and who is looped into discussions and kept up to date.

RAACI   #roles and responsibility   #teamwork   #project management   Clarifying roles and responsibilities, levels of autonomy/latitude in decision making, and levels of engagement among diverse stakeholders.

Problem-solving warm-up activities

All facilitators know that warm-ups and icebreakers are useful for any workshop or group process. Problem-solving workshops are no different.

Use these problem-solving techniques to warm up a group and prepare them for the rest of the process. Activating your group by tapping into some of the top problem-solving skills can be one of the best ways to see great outcomes from your session.

Check-in / Check-out

Solid processes are planned from beginning to end, and the best facilitators know that setting the tone and establishing a safe, open environment can be integral to a successful problem-solving process. Check-in / Check-out is a great way to begin and/or bookend a problem-solving workshop. Checking in to a session emphasizes that everyone will be seen, heard, and expected to contribute. 

If you are running a series of meetings, setting a consistent pattern of checking in and checking out can really help your team get into a groove. We recommend this opening-closing activity for small to medium-sized groups though it can work with large groups if they’re disciplined!

Check-in / Check-out   #team   #opening   #closing   #hyperisland   #remote-friendly   Either checking-in or checking-out is a simple way for a team to open or close a process, symbolically and in a collaborative way. Checking-in/out invites each member in a group to be present, seen and heard, and to express a reflection or a feeling. Checking-in emphasizes presence, focus and group commitment; checking-out emphasizes reflection and symbolic closure.

Doodling Together  

Thinking creatively and not being afraid to make suggestions are important problem-solving skills for any group or team, and warming up by encouraging these behaviors is a great way to start. 

Doodling Together is one of our favorite creative ice breaker games – it’s quick, effective, and fun and can make all following problem-solving steps easier by encouraging a group to collaborate visually. By passing cards and adding additional items as they go, the workshop group gets into a groove of co-creation and idea development that is crucial to finding solutions to problems. 

Doodling Together   #collaboration   #creativity   #teamwork   #fun   #team   #visual methods   #energiser   #icebreaker   #remote-friendly   Create wild, weird and often funny postcards together & establish a group’s creative confidence.

Show and Tell

You might remember some version of Show and Tell from being a kid in school and it’s a great problem-solving activity to kick off a session.

Asking participants to prepare a little something before a workshop by bringing an object for show and tell can help them warm up before the session has even begun! Games that include a physical object can also help encourage early engagement before moving onto more big-picture thinking.

By asking your participants to tell stories about why they chose to bring a particular item to the group, you can help teams see things from new perspectives and see both differences and similarities in the way they approach a topic. Great groundwork for approaching a problem-solving process as a team! 

Show and Tell   #gamestorming   #action   #opening   #meeting facilitation   Show and Tell taps into the power of metaphors to reveal players’ underlying assumptions and associations around a topic The aim of the game is to get a deeper understanding of stakeholders’ perspectives on anything—a new project, an organizational restructuring, a shift in the company’s vision or team dynamic.

Constellations

Who doesn’t love stars? Constellations is a great warm-up activity for any workshop as it gets people up off their feet, energized, and ready to engage in new ways with established topics. It’s also great for showing existing beliefs, biases, and patterns that can come into play as part of your session.

Using warm-up games that help build trust and connection while also allowing for non-verbal responses can be great for easing people into the problem-solving process and encouraging engagement from everyone in the group. Constellations is great in large spaces that allow for movement and is definitely a practical exercise to allow the group to see patterns that are otherwise invisible. 

Constellations   #trust   #connection   #opening   #coaching   #patterns   #system   Individuals express their response to a statement or idea by standing closer or further from a central object. Used with teams to reveal system, hidden patterns, perspectives.

Draw a Tree

Problem-solving games that help raise group awareness through a central, unifying metaphor can be effective ways to warm-up a group in any problem-solving model.

Draw a Tree is a simple warm-up activity you can use in any group and which can provide a quick jolt of energy. Start by asking your participants to draw a tree in just 45 seconds – they can choose whether it will be abstract or realistic. 

Once the timer is up, ask the group how many people included the roots of the tree and use this as a means to discuss how we can ignore important parts of any system simply because they are not visible.

All problem-solving strategies are made more effective by thinking of problems critically and by exposing things that may not normally come to light. Warm-up games like Draw a Tree are great in that they quickly demonstrate some key problem-solving skills in an accessible and effective way.

Draw a Tree   #thiagi   #opening   #perspectives   #remote-friendly   With this game you can raise awarness about being more mindful, and aware of the environment we live in.

Closing activities for a problem-solving process

Each step of the problem-solving workshop benefits from an intelligent deployment of activities, games, and techniques. Bringing your session to an effective close helps ensure that solutions are followed through on and that you also celebrate what has been achieved.

Here are some problem-solving activities you can use to effectively close a workshop or meeting and ensure the great work you’ve done can continue afterward.

One Breath Feedback

Maintaining attention and focus during the closing stages of a problem-solving workshop can be tricky and so being concise when giving feedback can be important. It’s easy to incur “death by feedback” should some team members go on for too long sharing their perspectives in a quick feedback round. 

One Breath Feedback is a great closing activity for workshops. You give everyone an opportunity to provide feedback on what they’ve done but only in the space of a single breath. This keeps feedback short and to the point and means that everyone is encouraged to provide the most important piece of feedback to them. 

One breath feedback   #closing   #feedback   #action   This is a feedback round in just one breath that excels in maintaining attention: each participants is able to speak during just one breath … for most people that’s around 20 to 25 seconds … unless of course you’ve been a deep sea diver in which case you’ll be able to do it for longer.

Who What When Matrix 

Matrices feature as part of many effective problem-solving strategies and with good reason. They are easily recognizable, simple to use, and generate results.

The Who What When Matrix is a great tool to use when closing your problem-solving session by attributing a who, what and when to the actions and solutions you have decided upon. The resulting matrix is a simple, easy-to-follow way of ensuring your team can move forward. 

Great solutions can’t be enacted without action and ownership. Your problem-solving process should include a stage for allocating tasks to individuals or teams and creating a realistic timeframe for those solutions to be implemented or checked out. Use this method to keep the solution implementation process clear and simple for all involved. 

Who/What/When Matrix   #gamestorming   #action   #project planning   With Who/What/When matrix, you can connect people with clear actions they have defined and have committed to.

Response cards

Group discussion can comprise the bulk of most problem-solving activities and by the end of the process, you might find that your team is talked out! 

Providing a means for your team to give feedback with short written notes can ensure everyone is head and can contribute without the need to stand up and talk. Depending on the needs of the group, giving an alternative can help ensure everyone can contribute to your problem-solving model in the way that makes the most sense for them.

Response Cards is a great way to close a workshop if you are looking for a gentle warm-down and want to get some swift discussion around some of the feedback that is raised. 

Response Cards   #debriefing   #closing   #structured sharing   #questions and answers   #thiagi   #action   It can be hard to involve everyone during a closing of a session. Some might stay in the background or get unheard because of louder participants. However, with the use of Response Cards, everyone will be involved in providing feedback or clarify questions at the end of a session.

Tips for effective problem solving

Problem-solving activities are only one part of the puzzle. While a great method can help unlock your team’s ability to solve problems, without a thoughtful approach and strong facilitation the solutions may not be fit for purpose.

Let’s take a look at some problem-solving tips you can apply to any process to help it be a success!

Clearly define the problem

Jumping straight to solutions can be tempting, though without first clearly articulating a problem, the solution might not be the right one. Many of the problem-solving activities below include sections where the problem is explored and clearly defined before moving on.

This is a vital part of the problem-solving process and taking the time to fully define an issue can save time and effort later. A clear definition helps identify irrelevant information and it also ensures that your team sets off on the right track.

Don’t jump to conclusions

It’s easy for groups to exhibit cognitive bias or have preconceived ideas about both problems and potential solutions. Be sure to back up any problem statements or potential solutions with facts, research, and adequate forethought.

The best techniques ask participants to be methodical and challenge preconceived notions. Make sure you give the group enough time and space to collect relevant information and consider the problem in a new way. By approaching the process with a clear, rational mindset, you’ll often find that better solutions are more forthcoming.  

Try different approaches  

Problems come in all shapes and sizes and so too should the methods you use to solve them. If you find that one approach isn’t yielding results and your team isn’t finding different solutions, try mixing it up. You’ll be surprised at how using a new creative activity can unblock your team and generate great solutions.

Don’t take it personally 

Depending on the nature of your team or organizational problems, it’s easy for conversations to get heated. While it’s good for participants to be engaged in the discussions, ensure that emotions don’t run too high and that blame isn’t thrown around while finding solutions.

You’re all in it together, and even if your team or area is seeing problems, that isn’t necessarily a disparagement of you personally. Using facilitation skills to manage group dynamics is one effective method of helping conversations be more constructive.

Get the right people in the room

Your problem-solving method is often only as effective as the group using it. Getting the right people on the job and managing the number of people present is important too!

If the group is too small, you may not get enough different perspectives to effectively solve a problem. If the group is too large, you can go round and round during the ideation stages.

Creating the right group makeup is also important in ensuring you have the necessary expertise and skillset to both identify and follow up on potential solutions. Carefully consider who to include at each stage to help ensure your problem-solving method is followed and positioned for success.

Create psychologically safe spaces for discussion

Identifying a problem accurately also requires that all members of a group are able to contribute their views in an open and safe manner.

It can be tough for people to stand up and contribute if the problems or challenges are emotive or personal in nature. Try and create a psychologically safe space for these kinds of discussions and where possible, create regular opportunities for challenges to be brought up organically.

Document everything

The best solutions can take refinement, iteration, and reflection to come out. Get into a habit of documenting your process in order to keep all the learnings from the session and to allow ideas to mature and develop. Many of the methods below involve the creation of documents or shared resources. Be sure to keep and share these so everyone can benefit from the work done!

Bring a facilitator 

Facilitation is all about making group processes easier. With a subject as potentially emotive and important as problem-solving, having an impartial third party in the form of a facilitator can make all the difference in finding great solutions and keeping the process moving. Consider bringing a facilitator to your problem-solving session to get better results and generate meaningful solutions!

Develop your problem-solving skills

It takes time and practice to be an effective problem solver. While some roles or participants might more naturally gravitate towards problem-solving, it can take development and planning to help everyone create better solutions.

You might develop a training program, run a problem-solving workshop or simply ask your team to practice using the techniques below. Check out our post on problem-solving skills to see how you and your group can develop the right mental process and be more resilient to issues too!

Design a great agenda

Workshops are a great format for solving problems. With the right approach, you can focus a group and help them find the solutions to their own problems. But designing a process can be time-consuming and finding the right activities can be difficult.

Check out our workshop planning guide to level-up your agenda design and start running more effective workshops. Need inspiration? Check out templates designed by expert facilitators to help you kickstart your process!

Save time and effort creating an effective problem solving process

A structured problem solving process is a surefire way of solving tough problems, discovering creative solutions and driving organizational change. But how can you design for successful outcomes?

With SessionLab, it’s easy to design engaging workshops that deliver results. Drag, drop and reorder blocks  to build your agenda. When you make changes or update your agenda, your session  timing   adjusts automatically , saving you time on manual adjustments.

Collaborating with stakeholders or clients? Share your agenda with a single click and collaborate in real-time. No more sending documents back and forth over email.

Explore  how to use SessionLab  to design effective problem solving workshops or  watch this five minute video  to see the planner in action!

Over to you

The problem-solving process can often be as complicated and multifaceted as the problems they are set-up to solve. With the right problem-solving techniques and a mix of exercises designed to guide discussion and generate purposeful ideas, we hope we’ve given you the tools to find the best solutions as simply and easily as possible.

Is there a problem-solving technique that you are missing here? Do you have a favorite activity or method you use when facilitating? Let us know in the comments below, we’d love to hear from you! 

James Smart is Head of Content at SessionLab. He’s also a creative facilitator who has run workshops and designed courses for establishments like the National Centre for Writing, UK. He especially enjoys working with young people and empowering others in their creative practice.

thank you very much for these excellent techniques

Certainly wonderful article, very detailed. Shared!

Your list of techniques for problem solving can be helpfully extended by adding TRIZ to the list of techniques. TRIZ has 40 problem solving techniques derived from methods inventros and patent holders used to get new patents. About 10-12 are general approaches. many organization sponsor classes in TRIZ that are used to solve business problems or general organiztational problems. You can take a look at TRIZ and dwonload a free internet booklet to see if you feel it shound be included per your selection process.

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In This Article Expand or collapse the "in this article" section Problem Solving and Decision Making

Introduction.

• General Approaches to Problem Solving
• Representational Accounts
• Problem Space and Search
• Working Memory and Problem Solving
• Domain-Specific Problem Solving
• The Rational Approach
• Prospect Theory
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• Cognitive Heuristics and Biases

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Problem Solving and Decision Making by Emily G. Nielsen , John Paul Minda LAST REVIEWED: 26 June 2019 LAST MODIFIED: 26 June 2019 DOI: 10.1093/obo/9780199828340-0246

Problem solving and decision making are both examples of complex, higher-order thinking. Both involve the assessment of the environment, the involvement of working memory or short-term memory, reliance on long term memory, effects of knowledge, and the application of heuristics to complete a behavior. A problem can be defined as an impasse or gap between a current state and a desired goal state. Problem solving is the set of cognitive operations that a person engages in to change the current state, to go beyond the impasse, and achieve a desired outcome. Problem solving involves the mental representation of the problem state and the manipulation of this representation in order to move closer to the goal. Problems can vary in complexity, abstraction, and how well defined (or not) the initial state and the goal state are. Research has generally approached problem solving by examining the behaviors and cognitive processes involved, and some work has examined problem solving using computational processes as well. Decision making is the process of selecting and choosing one action or behavior out of several alternatives. Like problem solving, decision making involves the coordination of memories and executive resources. Research on decision making has paid particular attention to the cognitive biases that account for suboptimal decisions and decisions that deviate from rationality. The current bibliography first outlines some general resources on the psychology of problem solving and decision making before examining each of these topics in detail. Specifically, this review covers cognitive, neuroscientific, and computational approaches to problem solving, as well as decision making models and cognitive heuristics and biases.

General Overviews

Current research in the area of problem solving and decision making is published in both general and specialized scientific journals. Theoretical and scholarly work is often summarized and developed in full-length books and chapter. These may focus on the subfields of problem solving and decision making or the larger field of thinking and higher-order cognition.

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Making decisions and solving problems are two key areas in life, whether you are at home or at work. Whatever you’re doing, and wherever you are, you are faced with countless decisions and problems, both small and large, every day.

Many decisions and problems are so small that we may not even notice them. Even small decisions, however, can be overwhelming to some people. They may come to a halt as they consider their dilemma and try to decide what to do.

Small and Large Decisions

In your day-to-day life you're likely to encounter numerous 'small decisions', including, for example:

Tea or coffee?

What shall I have in my sandwich? Or should I have a salad instead today?

What shall I wear today?

Larger decisions may occur less frequently but may include:

Should we repaint the kitchen? If so, what colour?

Should we relocate?

Should I propose to my partner? Do I really want to spend the rest of my life with him/her?

These decisions, and others like them, may take considerable time and effort to make.

The relationship between decision-making and problem-solving is complex. Decision-making is perhaps best thought of as a key part of problem-solving: one part of the overall process.

Our approach at Skills You Need is to set out a framework to help guide you through the decision-making process. You won’t always need to use the whole framework, or even use it at all, but you may find it useful if you are a bit ‘stuck’ and need something to help you make a difficult decision.

Decision Making

Effective Decision-Making

This page provides information about ways of making a decision, including basing it on logic or emotion (‘gut feeling’). It also explains what can stop you making an effective decision, including too much or too little information, and not really caring about the outcome.

A Decision-Making Framework

This page sets out one possible framework for decision-making.

The framework described is quite extensive, and may seem quite formal. But it is also a helpful process to run through in a briefer form, for smaller problems, as it will help you to make sure that you really do have all the information that you need.

Problem Solving

Introduction to Problem-Solving

This page provides a general introduction to the idea of problem-solving. It explores the idea of goals (things that you want to achieve) and barriers (things that may prevent you from achieving your goals), and explains the problem-solving process at a broad level.

The first stage in solving any problem is to identify it, and then break it down into its component parts. Even the biggest, most intractable-seeming problems, can become much more manageable if they are broken down into smaller parts. This page provides some advice about techniques you can use to do so.

Sometimes, the possible options to address your problem are obvious. At other times, you may need to involve others, or think more laterally to find alternatives. This page explains some principles, and some tools and techniques to help you do so.

Having generated solutions, you need to decide which one to take, which is where decision-making meets problem-solving. But once decided, there is another step: to deliver on your decision, and then see if your chosen solution works. This page helps you through this process.

‘Social’ problems are those that we encounter in everyday life, including money trouble, problems with other people, health problems and crime. These problems, like any others, are best solved using a framework to identify the problem, work out the options for addressing it, and then deciding which option to use.

This page provides more information about the key skills needed for practical problem-solving in real life.

Further Reading from Skills You Need

The Skills You Need Guide to Interpersonal Skills eBooks.

Develop your interpersonal skills with our series of eBooks. Learn about and improve your communication skills, tackle conflict resolution, mediate in difficult situations, and develop your emotional intelligence.

Guiding you through the key skills needed in life

As always at Skills You Need, our approach to these key skills is to provide practical ways to manage the process, and to develop your skills.

Neither problem-solving nor decision-making is an intrinsically difficult process and we hope you will find our pages useful in developing your skills.

Start with: Decision Making Problem Solving

See also: Improving Communication Interpersonal Communication Skills Building Confidence

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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This is how effective teams navigate the decision-making process

Zero Magic 8 Balls required.

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Flipping a coin. Throwing a dart at a board. Pulling a slip of paper out of a hat.

Sure, they’re all ways to make a choice. But they all hinge on random chance rather than analysis, reflection, and strategy — you know, the things you actually need to make the big, meaty decisions that have major impacts.

So, set down that Magic 8 Ball and back away slowly. Let’s walk through the standard framework for decision-making that will help you and your team pinpoint the problem, consider your options, and make your most informed selection. Here’s a closer look at each of the seven steps of the decision-making process, and how to approach each one. 

Step 1: Identify the decision

Most of us are eager to tie on our superhero capes and jump into problem-solving mode — especially if our team is depending on a solution. But you can’t solve a problem until you have a full grasp on what it actually is .

This first step focuses on getting the lay of the land when it comes to your decision. What specific problem are you trying to solve? What goal are you trying to achieve? 

How to do it: 

• Use the 5 whys analysis to go beyond surface-level symptoms and understand the root cause of a problem.
• Try problem framing to dig deep on the ins and outs of whatever problem your team is fixing. The point is to define the problem, not solve it. 

⚠️ Watch out for: Decision fatigue , which is the tendency to make worse decisions as a result of needing to make too many of them. Making choices is mentally taxing , which is why it’s helpful to pinpoint one decision at a time. 

2. Gather information

Your team probably has a few hunches and best guesses, but those can lead to knee-jerk reactions. Take care to invest adequate time and research into your decision.

This step is when you build your case, so to speak. Collect relevant information — that could be data, customer stories, information about past projects, feedback, or whatever else seems pertinent. You’ll use that to make decisions that are informed, rather than impulsive.

• Host a team mindmapping session to freely explore ideas and make connections between them. It can help you identify what information will best support the process.
• Create a project poster to define your goals and also determine what information you already know and what you still need to find out. 

⚠️ Watch out for: Information bias , or the tendency to seek out information even if it won’t impact your action. We have the tendency to think more information is always better, but pulling together a bunch of facts and insights that aren’t applicable may cloud your judgment rather than offer clarity. 

3. Identify alternatives

Use divergent thinking to generate fresh ideas in your next brainstorm

Blame the popularity of the coin toss, but making a decision often feels like choosing between only two options. Do you want heads or tails? Door number one or door number two? In reality, your options aren’t usually so cut and dried. Take advantage of this opportunity to get creative and brainstorm all sorts of routes or solutions. There’s no need to box yourselves in. 

• Use the Six Thinking Hats technique to explore the problem or goal from all sides: information, emotions and instinct, risks, benefits, and creativity. It can help you and your team break away from your typical roles or mindsets and think more freely.
• Try brainwriting so team members can write down their ideas independently before sharing with the group. Research shows that this quiet, lone thinking time can boost psychological safety and generate more creative suggestions .

⚠️ Watch out for: Groupthink , which is the tendency of a group to make non-optimal decisions in the interest of conformity. People don’t want to rock the boat, so they don’t speak up. 

4. Consider the evidence

Armed with your list of alternatives, it’s time to take a closer look and determine which ones could be worth pursuing. You and your team should ask questions like “How will this solution address the problem or achieve the goal?” and “What are the pros and cons of this option?” 

Be honest with your answers (and back them up with the information you already collected when you can). Remind the team that this isn’t about advocating for their own suggestions to “win” — it’s about whittling your options down to the best decision. 

How to do it:

• Use a SWOT analysis to dig into the strengths, weaknesses, opportunities, and threats of the options you’re seriously considering.
• Run a project trade-off analysis to understand what constraints (such as time, scope, or cost) the team is most willing to compromise on if needed. 

⚠️ Watch out for: Extinction by instinct , which is the urge to make a decision just to get it over with. You didn’t come this far to settle for a “good enough” option! 

5. Choose among the alternatives

This is it — it’s the big moment when you and the team actually make the decision. You’ve identified all possible options, considered the supporting evidence, and are ready to choose how you’ll move forward.

However, bear in mind that there’s still a surprising amount of room for flexibility here. Maybe you’ll modify an alternative or combine a few suggested solutions together to land on the best fit for your problem and your team. 

• Use the DACI framework (that stands for “driver, approver, contributor, informed”) to understand who ultimately has the final say in decisions. The decision-making process can be collaborative, but eventually someone needs to be empowered to make the final call.
• Try a simple voting method for decisions that are more democratized. You’ll simply tally your team’s votes and go with the majority. 

⚠️ Watch out for: Analysis paralysis , which is when you overthink something to such a great degree that you feel overwhelmed and freeze when it’s time to actually make a choice. 

6. Take action

Making a big decision takes a hefty amount of work, but it’s only the first part of the process — now you need to actually implement it. 

It’s tempting to think that decisions will work themselves out once they’re made. But particularly in a team setting, it’s crucial to invest just as much thought and planning into communicating the decision and successfully rolling it out. 

• Create a stakeholder communications plan to determine how you’ll keep various people — direct team members, company leaders, customers, or whoever else has an active interest in your decision — in the loop on your progress.
• Define the goals, signals, and measures of your decision so you’ll have an easier time aligning the team around the next steps and determining whether or not they’re successful. 

⚠️Watch out for: Self-doubt, or the tendency to question whether or not you’re making the right move. While we’re hardwired for doubt , now isn’t the time to be a skeptic about your decision. You and the team have done the work, so trust the process. 

7. Review your decision

9 retrospective techniques that won’t bore your team to tears

As the decision itself starts to shake out, it’s time to take a look in the rearview mirror and reflect on how things went.

Did your decision work out the way you and the team hoped? What happened? Examine both the good and the bad. What should you keep in mind if and when you need to make this sort of decision again? 

• Do a 4 L’s retrospective to talk through what you and the team loved, loathed, learned, and longed for as a result of that decision.
• Celebrate any wins (yes, even the small ones ) related to that decision. It gives morale a good kick in the pants and can also help make future decisions feel a little less intimidating.

⚠️ Watch out for: Hindsight bias , or the tendency to look back on events with the knowledge you have now and beat yourself up for not knowing better at the time. Even with careful thought and planning, some decisions don’t work out — but you can only operate with the information you have at the time. 

Making smart decisions about the decision-making process

You’re probably picking up on the fact that the decision-making process is fairly comprehensive. And the truth is that the model is likely overkill for the small and inconsequential decisions you or your team members need to make.

Deciding whether you should order tacos or sandwiches for your team offsite doesn’t warrant this much discussion and elbow grease. But figuring out which major project to prioritize next? That requires some careful and collaborative thought. 

It all comes back to the concept of satisficing versus maximizing , which are two different perspectives on decision making. Here’s the gist:

• Maximizers aim to get the very best out of every single decision.
• Satisficers are willing to settle for “good enough” rather than obsessing over achieving the best outcome.

One of those isn’t necessarily better than the other — and, in fact, they both have their time and place.

A major decision with far-reaching impacts deserves some fixation and perfectionism. However, hemming and hawing over trivial choices ( “Should we start our team meeting with casual small talk or a structured icebreaker?” ) will only cause added stress, frustration, and slowdowns. 

As with anything else, it’s worth thinking about the potential impacts to determine just how much deliberation and precision a decision actually requires. 

Decision-making is one of those things that’s part art and part science. You’ll likely have some gut feelings and instincts that are worth taking into account. But those should also be complemented with plenty of evidence, evaluation, and collaboration.

The decision-making process is a framework that helps you strike that balance. Follow the seven steps and you and your team can feel confident in the decisions you make — while leaving the darts and coins where they belong.

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7.2 Decision-making Models

Decision-making models.

In this section, we are going to discuss different decision-making models designed to understand and evaluate the effectiveness of nonprogrammed decisions. We will cover four decision-making approaches, starting with the rational decision-making model, moving to the bounded rationality decision-making model, the intuitive decision-making model, and ending with the creative decision-making model. The importance of making good decisions relates to our ability to manage our emotional intelligence to make sure we make the right decisions. These models will help us make better decisions, which results in better human relations.

In this Section:

• Rational Decision-making
• Bounded Rationality

Intuitive Decision-making

Creative decision-making, rational decision-making.

The rational decision-making model describes a series of steps that decision makers should consider if their goal is to maximize the quality of their outcomes. In other words, if you want to make sure that you make the best choice, going through the formal steps of the rational decision-making model may make sense.

Let’s Focus: Rational Decision-making Model

Buying your first car.

Let’s imagine that your old, clunky car has broken down, and you have enough money saved for a substantial down payment on a new car. It will be the first major purchase of your life, and you want to make the right choice.

The first step, therefore, has already been completed—we know that you want to buy a new car. Next, in step 2, you’ll need to decide which factors are important to you. How many passengers do you want to accommodate? How important is fuel economy to you? Is safety a major concern? You only have a certain amount of money saved, and you don’t want to take on too much debt, so price range is an important factor as well. If you know you want to have room for at least five adults, get at least twenty miles per gallon, drive a car with a strong safety rating, not spend more than $22,000 on the purchase, and like how it looks, you have identified the decision criteria . All the potential options for purchasing your car will be evaluated against these criteria.

Before we can move too much further, you need to decide how important each factor is to your decision in step 3. If each is equally important, then there is no need to weigh them, but if you know that price and mpg are key factors, you might weigh them heavily and keep the other criteria with medium importance. Step 4 requires you to generate all alternatives  about your options. Then, in step 5, you need to use this information to evaluate each alternative against the criteria you have established. You choose the best alternative (step 6), and then you would go out and buy your new car (step 7).

Of course, the outcome of this decision will influence the next decision made. That is where step 8 comes in. For example, if you purchase a car and have nothing but problems with it, you will be less likely to consider the same make and model when purchasing a car the next time.

While decision makers can get off track during any of these steps, research shows that searching for alternatives in the fourth step can be the most challenging and often leads to failure. In fact, one researcher found that no alternative generation occurred in 85 percent of the decisions he studied (Nutt, 1994). Conversely, successful managers know what they want at the outset of the decision-making process, set objectives for others to respond to, carry out an unrestricted search for solutions, get key people to participate, and avoid using their power to push their perspective (Nutt, 1998).

The rational decision-making model has important lessons for decision makers. First, when making a decision, you may want to make sure that you establish your decision criteria before you search for alternatives. This would prevent you from liking one option too much and setting your criteria accordingly. For example, let’s say you started browsing cars online before you generated your decision criteria. You may come across a car that you feel reflects your sense of style and you develop an emotional bond with the car. Then, because of your love for the particular car, you may say to yourself that the fuel economy of the car and the innovative braking system are the most important criteria. After purchasing it, you may realize that the car is too small for your friends to ride in the back seat, which was something you should have thought about. Setting criteria before you search for alternatives may prevent you from making such mistakes. Another advantage of the rational model is that it urges decision makers to generate all alternatives instead of only a few. By generating a large number of alternatives that cover a wide range of possibilities, you are unlikely to make a more effective decision that does not require sacrificing one criterion for the sake of another.

Despite all its benefits, you may have noticed that this decision-making model involves a number of unrealistic assumptions as well. It assumes that people completely understand the decision to be made, that they know all their available choices, that they have no perceptual biases, and that they want to make optimal decisions. Nobel Prize–winning economist Herbert Simon observed that while the rational decision-making model may be a helpful device in aiding decision makers when working through problems, it doesn’t represent how decisions are frequently made within organizations. In fact, Simon argued that it didn’t even come close.

Think about how you make important decisions in your life. It is likely that you rarely sit down and complete all eight of the steps in the rational decision-making model. For example, this model proposed that we should search for all possible alternatives before making a decision, but that process is time consuming, and individuals are often under time pressure to make decisions. Moreover, even if we had access to all the information that was available, it could be challenging to compare the pros and cons of each alternative and rank them according to our preferences. Anyone who has recently purchased a new laptop computer or cell phone can attest to the challenge of sorting through the different strengths and limitations of each brand and model and arriving at the solution that best meets particular needs. In fact, the availability of too much information can lead to analysis paralysis , in which more and more time is spent on gathering information and thinking about it, but no decisions actually get made. A senior executive at Hewlett-Packard Development Company LP admits that his company suffered from this spiral of analyzing things for too long to the point where data gathering led to “not making decisions, instead of us making decisions (Zell et al., 2007). Moreover, you may not always be interested in reaching an optimal decision. For example, if you are looking to purchase a house, you may be willing and able to invest a great deal of time and energy to find your dream house, but if you are only looking for an apartment to rent for the academic year, you may be willing to take the first one that meets your criteria of being clean, close to campus, and within your price range.

Bounded Rationality: Making “Good Enough” Decisions

The bounded rationality model of decision making recognizes the limitations of our decision-making processes. According to this model, individuals knowingly limit their options to a manageable set and choose the first acceptable alternative without conducting an exhaustive search for alternatives. An important part of the bounded rationality approach is the tendency to satisfice (a term coined by Herbert Simon from satisfy and suffice), which refers to accepting the first alternative that meets your minimum criteria.

For example, many college graduates do not conduct a national or international search for potential job openings. Instead, they focus their search on a limited geographic area, and they tend to accept the first offer in their chosen area, even if it may not be the ideal job situation. Satisficing is similar to rational decision making. The main difference is that rather than choosing the best option and maximizing the potential outcome, the decision maker saves cognitive time and effort by accepting the first alternative that meets the minimum threshold.

The  intuitive decision-making model has emerged as an alternative to other decision making processes. This model refers to arriving at decisions without conscious reasoning. A total of 89 percent of managers surveyed admitted to using intuition to make decisions at least sometimes and 59 percent said they used intuition often (Burke & Miller, 1999). Managers make decisions under challenging circumstances, including time pressures, constraints, a great deal of uncertainty, changing conditions, and highly visible and high-stakes outcomes. Thus, it makes sense that they would not have the time to use the rational decision-making model. Yet when CEOs, financial analysts, and health care workers are asked about the critical decisions they make, seldom do they attribute success to luck. To an outside observer, it may seem like they are making guesses as to the course of action to take, but it turns out that experts systematically make decisions using a different model than was earlier suspected. Research on life-or-death decisions made by fire chiefs, pilots, and nurses finds that experts do not choose among a list of well thought out alternatives. They don’t decide between two or three options and choose the best one. Instead, they consider only one option at a time. The intuitive decision-making model argues that in a given situation, experts making decisions scan the environment for cues to recognize patterns (Breen, 2000; Klein, 2003; Salas & Klein, 2001). Once a pattern is recognized, they can play a potential course of action through to its outcome based on their prior experience. Thanks to training, experience, and knowledge, these decision makers have an idea of how well a given solution may work. If they run through the mental model and find that the solution will not work, they alter the solution before setting it into action. If it still is not deemed a workable solution, it is discarded as an option, and a new idea is tested until a workable solution is found. Once a viable course of action is identified, the decision maker puts the solution into motion. The key point is that only one choice is considered at a time. Novices are not able to make effective decisions this way, because they do not have enough prior experience to draw upon.

In addition to the rational decision making, bounded rationality, and intuitive decision-making models, creative decision making is a vital part of being an effective decision maker. Creativity is the generation of new, imaginative ideas. With the flattening of organizations and intense competition among companies, individuals and organizations are driven to be creative in decisions ranging from cutting costs to generating new ways of doing business. Please note that, while creativity is the first step in the innovation process, creativity and innovation are not the same thing. Innovation begins with creative ideas, but it also involves realistic planning and follow-through. Innovations such as 3M’s Clearview Window Tinting grow out of a creative decision-making process about what may or may not work to solve real-world problems.

The five steps to creative decision making are similar to the previous decision-making models in some keys ways. All the models include problem identification , which is the step in which the need for problem solving becomes apparent. If you do not recognize that you have a problem, it is impossible to solve it. Immersion is the step in which the decision maker consciously thinks about the problem and gathers information. A key to success in creative decision making is having or acquiring expertise in the area being studied. Then, incubation occurs. During incubation, the individual sets the problem aside and does not think about it for a while. At this time, the brain is actually working on the problem unconsciously. Then comes illumination , or the insight moment when the solution to the problem becomes apparent to the person, sometimes when it is least expected. This sudden insight is the “eureka” moment, similar to what happened to the ancient Greek inventor Archimedes, who found a solution to the problem he was working on while taking a bath. Finally, the verification and application stage happens when the decision maker consciously verifies the feasibility of the solution and implements the decision.

Here’s an Example

A NASA scientist describes his decision-making process leading to a creative outcome as follows: He had been trying to figure out a better way to de-ice planes to make the process faster and safer.

After recognizing the problem, he immersed himself in the literature to understand all the options, and he worked on the problem for months trying to figure out a solution. It was not until he was sitting outside a McDonald’s restaurant with his grandchildren that it dawned on him.

The golden arches of the M of the McDonald’s logo inspired his solution—he would design the de-icer as a series of Ms. This represented the illumination stage. After he tested and verified his creative solution, he was done with that problem, except to reflect on the outcome and process.

How do you know if your decision process is creative?

Researchers focus on three factors to evaluate the level of creativity in the decision-making process. Fluency refers to the number of ideas a person is able to generate. Flexibility refers to how different the ideas are from one another. If you are able to generate several distinct solutions to a problem, your decision-making process is high on flexibility.  Originality refers to how unique a person’s ideas are.

Some experts (Amabile, 1999; Amabile et al., 1996; Ford et al., 2000; Tierney et al., 1999; Woodman et al., 1993) have proposed that creativity occurs as an interaction among three factors: people’s personality traits (openness to experience, risk taking), their attributes (expertise, imagination, motivation), and the situational context (encouragement from others, time pressure, physical structures). For example, research shows that individuals who are open to experience, less conscientious, more self-accepting, and more impulsive tend to be more creative (Feist, 1998).

Consider This

Ideas for enhancing creativity in groups.

Some ideas for enhancing creativity in groups include:

Team Composition

• Diversify your team  to give them more inputs to build on and more opportunities to create functional conflict while avoiding personal conflict.
• Change group membership  to stimulate new ideas and new interaction patterns.
• Leaderless teams  can allow teams freedom to create without trying to please anyone up front.

Team Process

• Engage in brainstorming  to generate ideas. Remember to set a high goal for the number of ideas the group should come up with, encourage wild ideas, and take brainwriting breaks.
• Use the nominal group technique (see  Tools and Techniques for Making Better Decisions  below) in person or electronically  to avoid some common group process pitfalls. Consider anonymous feedback as well.
• Use analogies  to envision problems and solutions.
• Challenge teams  so that they are engaged but not overwhelmed.
• Let people decide how to achieve goals  rather than telling them what goals to achieve.
• Support and celebrate creativity  even when it leads to a mistake. Be sure to set up processes to learn from mistakes as well.
• Role model  creative behavior.
• Institute organizational memory  so that individuals do not spend time on routine tasks.
• Build a physical space conducive to creativity  that is playful and humorous—this is a place where ideas can thrive.
• Incorporate creative behavior  into the performance appraisal process.

Sources: Adapted from ideas in Amabile, T. M. (1998). How to kill creativity. Harvard Business Review, 77-87. Gundry, L. K., Kickul, J. R., & Prather, C. W. (1994). Building the creative organization. Organizational Dynamics, 22(4), 22–37. ; Keith, N., & Frese, M. (2008). Effectiveness of error management training: A meta-analysis. Journal of Applied Psychology, 93(1), 59–69.; Pearsall, M. J., Ellis, A. P. J., & Evans, J. M. (2008). Unlocking the effects of gender faultlines on team creativity: Is activation the key? Journal of Applied Psychology, 93(1), 225–234.; Thompson, L. (2003). Improving the creativity of organizational work groups. Academy of Management Executive, 17, 96-109.

Enhancing Creative Decision-making

There are many techniques available that enhance and improve creativity. Linus Pauling (2008), the Nobel Prize winner who popularized the idea that vitamin C could help strengthen the immune system, said, “The best way to have a good idea is to have a lot of ideas.” One popular method of generating ideas is to use brainstorming. Brainstorming is a group process of generating ideas that follow a set of guidelines, including no criticism of ideas during the brainstorming process, the idea that no suggestion is too crazy, and building on other ideas (piggybacking). Research shows that the quantity of ideas actually leads to better idea quality in the end, so setting high idea quotas,  in which the group must reach a set number of ideas before they are done, is recommended to avoid process loss and maximize the effectiveness of brainstorming. Another unique aspect of brainstorming is that since the variety of backgrounds and approaches give the group more to draw upon, the more people are included in the process, the better the decision outcome will be. A variation of brainstorming is wildstorming , in which the group focuses on ideas that are impossible and then imagines what would need to happen to make them possible (Scott et al., 2004).

One example of a creative decision making model is the Edward Debono model. The  Edward Debono’s model of the Six Thinking Hats  provides us with a different way of thinking about the way we make decisions. The six hats provide us with perspectives from six different perspectives. Similar to the rational decision making model discussed earlier, this model uses hats to represent the steps we need to follow in order to make good decisions. For example, the white hat helps us look at the facts of the situation. The red hat helps us look at the emotional aspect of the problem or solution. The black hat helps us to look at the negatives of the solution, while the yellow hat helps us think about the positives of the solution. The green hat allows us to come up with potential solutions or courses of action, while the blue hat helps us manage the process of making the decision.

Let’s Focus  

Andi and the 6 hats: an example.

Consider the opening scenario where Andi is considering which job to accept. If she were using the six hats model, first she would look at the facts—that is, the aspects of each job offer (white hat). Then, she would look at how she feel (red hat) about each job. Next, she would look at the downsides of each job (black hat). Then, she would look at the positives of each job (yellow hat). Next, she would use the green hat to look at the job offers from a creative way and look at potential of choosing one job over another. Finally, the blue hat would cause Andi to make sure she used all hats to make a decision and, based on the data, would go ahead and make the best choice.

Which Model is Best?

Now that we’ve reviewed all four types of models for non-programmed decisions, you may be wondering: which model is best to use when I make a decision? As we’ve learned, each of these models has potential advantages and disadvantages. Figure 7.6 below offers some suggestions as to when each model is helpful based on the time/information available, the importance of the decision, and the clarity of the problem/solutions.

Table 7.2 Which decision-making model should I use?

Let’s Review

• In this section we learned about four models for nonprogrammed decision-making: rational, bounded rationality, intuitive, and creative decision making.
• Each of these can be useful, depending on the circumstances and the problem that needs to be solved.
• Have you used the rational decision-making model to make a decision? What was the context? How well did the model work?
• Share an example of a decision in which you used satisficing. Were you happy with the outcome? Why or why not? When would you be most likely to engage in satisficing?
• Do you think intuition is respected as a decision-making style? Do you think it should be? Why or why not?

This section is adapted from:

Chapter 8: Make Good Decisions   in  Human Relations  by Saylor Academy under a  Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License

Amabile, T. M. (1988). A model of creativity and innovation in organizations. In B. M. Staw & L. L. Cummings (Eds.),  Research in organizational behavior (vol. 10, pp. 123–67). JAI Press.

Amabile, T. M., Conti, R., Coon, H., Lazenby, J., & Herron, M. (1996). Assessing the work environment for creativity. Academy of Management Journal ,  39 , 1154–84.

Breen, B. (2000, August). What’s your intuition?  Fast Company , 290.

Burke, L. A., & Miller, M. K. (1999). Taking the mystery out of intuitive decision making. Academy of Management Executive ,  13 , 91–98.

Feist, G. J. (1998). A meta-analysis of personality in scientific and artistic creativity. Personality and Social Psychology Review ,  2 , 290–309.

Ford, C. M., & Gioia, D. A. (2000). Factors influencing creativity in the domain of managerial decision making.  Journal of Management ,  26 , 705–32

Klein, G. (2003). Intuition at work . Doubleday.

Pauling, L. (n.d.). The best way to have good ideas. What Quote. Retrieved May 1, 2008, from http://www.whatquote.com/quotes/linus-pauling/250801-the-best-way-to-have.htm

Scott, G., Leritz, S, G , & Mumford, M. D. (2004). The effectiveness of creativity training: A quantitative review. Creativity Research Journal ,  16 , 361–88.

Nutt, P. C. (1994). Types of organizational decision processes.  Administrative Science Quarterly ,  29 , 414–550.

Nutt, P. C. (1998). Surprising but true: Half the decisions in organizations fail.  Academy of Management Executive ,  13 , 75–90.

Salas, E., & Klein, G. (2001). Linking expertise and naturalistic decision making . Lawrence Erlbaum Associates.

Tierney, P., Farmer, S. M., & Graen, G. B. (1999). An examination of leadership and employee creativity: The relevance of traits and relationships.  Personnel Psychology ,  52 , 591–620.

Woodman, R. W., Sawyer, J. E., & Griffin, R. W. (1993). Toward a theory of organizational creativity.  Academy of Management Review ,  18 , 293–321.

Zell, D. M., Glassman, A. M., & Duron, S. A. (2007). Strategic management in turbulent times: The short and glorious history of accelerated decision making at Hewlett-Packard. Organizational Dynamics ,  36 , 93–104.

Psychology, Communication, and the Canadian Workplace Copyright © 2022 by Laura Westmaas, BA, MSc is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License , except where otherwise noted.

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• 7 important steps in the decision makin ...

7 important steps in the decision making process

The decision making process is a method of gathering information, assessing alternatives, and making a final choice with the goal of making the best decision possible. In this article, we detail the step-by-step process on how to make a good decision and explain different decision making methodologies.

We make decisions every day. Take the bus to work or call a car? Chocolate or vanilla ice cream? Whole milk or two percent?

There's an entire process that goes into making those tiny decisions, and while these are simple, easy choices, how do we end up making more challenging decisions? 

At work, decisions aren't as simple as choosing what kind of milk you want in your latte in the morning. That’s why understanding the decision making process is so important. 

What is the decision making process?

The decision making process is the method of gathering information, assessing alternatives, and, ultimately, making a final choice. 

Decision-making tools for agile businesses

In this ebook, learn how to equip employees to make better decisions—so your business can pivot, adapt, and tackle challenges more effectively than your competition.

The 7 steps of the decision making process

Step 1: identify the decision that needs to be made.

When you're identifying the decision, ask yourself a few questions: 

What is the problem that needs to be solved?

What is the goal you plan to achieve by implementing this decision?

How will you measure success?

These questions are all common goal setting techniques that will ultimately help you come up with possible solutions. When the problem is clearly defined, you then have more information to come up with the best decision to solve the problem.

Step 2: Gather relevant information

​Gathering information related to the decision being made is an important step to making an informed decision. Does your team have any historical data as it relates to this issue? Has anybody attempted to solve this problem before?

It's also important to look for information outside of your team or company. Effective decision making requires information from many different sources. Find external resources, whether it’s doing market research, working with a consultant, or talking with colleagues at a different company who have relevant experience. Gathering information helps your team identify different solutions to your problem.

Step 3: Identify alternative solutions

This step requires you to look for many different solutions for the problem at hand. Finding more than one possible alternative is important when it comes to business decision-making, because different stakeholders may have different needs depending on their role. For example, if a company is looking for a work management tool, the design team may have different needs than a development team. Choosing only one solution right off the bat might not be the right course of action. 

Step 4: Weigh the evidence

This is when you take all of the different solutions you’ve come up with and analyze how they would address your initial problem. Your team begins identifying the pros and cons of each option, and eliminating alternatives from those choices.

There are a few common ways your team can analyze and weigh the evidence of options:

Pros and cons list

SWOT analysis

Decision matrix

Step 5: Choose among the alternatives

The next step is to make your final decision. Consider all of the information you've collected and how this decision may affect each stakeholder. 

Sometimes the right decision is not one of the alternatives, but a blend of a few different alternatives. Effective decision-making involves creative problem solving and thinking out of the box, so don't limit you or your teams to clear-cut options.

One of the key values at Asana is to reject false tradeoffs. Choosing just one decision can mean losing benefits in others. If you can, try and find options that go beyond just the alternatives presented.

Step 6: Take action

Once the final decision maker gives the green light, it's time to put the solution into action. Take the time to create an implementation plan so that your team is on the same page for next steps. Then it’s time to put your plan into action and monitor progress to determine whether or not this decision was a good one. 

Step 7: Review your decision and its impact (both good and bad)

Once you’ve made a decision, you can monitor the success metrics you outlined in step 1. This is how you determine whether or not this solution meets your team's criteria of success.

Here are a few questions to consider when reviewing your decision:

Did it solve the problem your team identified in step 1? 

Did this decision impact your team in a positive or negative way?

Which stakeholders benefited from this decision? Which stakeholders were impacted negatively?

If this solution was not the best alternative, your team might benefit from using an iterative form of project management. This enables your team to quickly adapt to changes, and make the best decisions with the resources they have. 

Types of decision making models

While most decision making models revolve around the same seven steps, here are a few different methodologies to help you make a good decision.

​Rational decision making models

This type of decision making model is the most common type that you'll see. It's logical and sequential. The seven steps listed above are an example of the rational decision making model. 

When your decision has a big impact on your team and you need to maximize outcomes, this is the type of decision making process you should use. It requires you to consider a wide range of viewpoints with little bias so you can make the best decision possible. 

Intuitive decision making models

This type of decision making model is dictated not by information or data, but by gut instincts. This form of decision making requires previous experience and pattern recognition to form strong instincts.

This type of decision making is often made by decision makers who have a lot of experience with similar kinds of problems. They have already had proven success with the solution they're looking to implement. 

Creative decision making model

The creative decision making model involves collecting information and insights about a problem and coming up with potential ideas for a solution, similar to the rational decision making model. 

The difference here is that instead of identifying the pros and cons of each alternative, the decision maker enters a period in which they try not to actively think about the solution at all. The goal is to have their subconscious take over and lead them to the right decision, similar to the intuitive decision making model. 

This situation is best used in an iterative process so that teams can test their solutions and adapt as things change.

Track key decisions with a work management tool

Tracking key decisions can be challenging when not documented correctly. Learn more about how a work management tool like Asana can help your team track key decisions, collaborate with teammates, and stay on top of progress all in one place.

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• Introduction

Rational decision making

Satisficing and bounded rationality, intra-organizational political decision making.

• Incremental decision making and routines
• Appropriate decision making
• Temporal decision making
• Evaluating decision-making models

decision making

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• Table Of Contents

decision making , process and logic through which individuals arrive at a decision. Different models of decision making lead to dramatically different analyses and predictions. Decision-making theories range from objective rational decision making, which assumes that individuals will make the same decisions given the same information and preferences, to the more subjective logic of appropriateness , which assumes that specific institutional and organizational contexts matter in the decisions that individuals make.

(Read Steven Pinker’s Britannica entry on rationality.)

In modern Western societies the most common understanding of decision making is that it is rational—self-interested, purposeful, and efficient. During rational decision making, individuals will survey alternatives , evaluate consequences from each alternative , and finally do what they believe has the best consequences for themselves. The keys to a decision are the quality of information about alternatives and individual preferences. Modern economics is built on this understanding of how individuals make decisions.

Rational decision making becomes efficient when information is maximized and preferences are satisfied using the minimum of resources. In modern societies, rational decision making can occur in markets or firms. Both assume that individuals will act rationally, maximizing self-interest, but each works most efficiently under different conditions. Markets are most efficient when both buyers and sellers exist, when products or services are discrete so that the exchange can be one-time, when information about a product or service (such as its technology or means of evaluation) is broadly understood, and when there are enforced penalties for cheating.

Lacking these conditions, consensual exchange cannot occur, and rational individuals will try to cheat others to maximize their gain. In these cases a hierarchical organization is more efficient. The German sociologist Max Weber described how factories and bureaucracies became dramatically more efficient through growing technical expertise and, more importantly, a new division of labour , which divided work, specialized expertise, and coordinated individuals in a rule-based hierarchy . Bureaucracies decomposed complex technologies into manageable pieces, then allowed individuals to specialize and master a defined skill set. Using a clear hierarchy in which each position is controlled and supervised according to a stable and nonarbitrary system of rules, each individual’s work and expertise could be coordinated to achieve organizational goals, ranging from winning wars to making dresses.

In the 1940s, organization theorists began to challenge two assumptions necessary for rational decision making to occur, both of which were made obvious in cases where markets failed and hierarchies were necessary. First, information is never perfect, and individuals always make decisions based on imperfect information. Second, individuals do not evaluate all possible alternatives before making a choice. This behaviour is directly related to the costs of gathering information, because information becomes progressively more difficult and costly to gather. Instead of choosing the best alternative possible, individuals actually choose the first satisfactory alternative they find. The American social scientist Herbert Simon labeled this process “ satisficing” and concluded that human decision making could at best exhibit bounded rationality. Although objective rationality leads to only one possible rational conclusion, satisficing can lead to many rational conclusions, depending upon the information available and the imagination of the decision maker.

Simon argued that otherwise irrational individuals can behave rationally in the right context , particularly within a formal organization . Organizations can structure, or bound, individuals’ decisions by manipulating the premises on which decisions are made. Organizations can filter or emphasize information, bringing facts to an individual’s attention and identifying certain facts as important and legitimate . Individuals in hierarchies can take most of what happens around them for granted, concentrating only on a few key decisions. Hierarchies are efficient because they ensure that the correct information gets to the correct decision makers and that the correct person is making the decisions. At the same time, hierarchical organizations can socialize individuals to refrain from cheating by creating value decision premises that underlie decision makers’ judgments on what is right or good to do. These values, beliefs, or norms can come from family, from school, or from within the organization, but the organization can structure environments so that the most desirable value will be most salient at the time of decision.

Hierarchical organizations can structure factual and value decision premises so that the range of action becomes so narrow that only one alternative remains: the rational choice. Structuring decision premises can be done by directly managing information, selectively recruiting members, training members, and creating closed promotion patterns.

Organizations become rational in pursuing their missions through what Simon called ends-means chains. Leaders set the organizational mission, find a set of means for achieving the mission, take each of those means as a subgoal, and then find means for the subgoals and so on, until goals exist for every member of the organization. Leaders thus create a hierarchy of goals, in which each organizational level’s goals are an end relative to the levels below it and a means relative to the levels above it. Each individual’s work thus becomes a small part of accomplishing the organization’s mission.

Turning Simon’s bounded rationality on its head, other theorists argued that organizations are not purposeful cohesive actors but rather groups of competing coalitions made up of individuals with disparate interests. Individuals do not represent organizational interests; organizations represent individuals’ interests. Seen from this perspective, it is erroneous to ascribe a mission to an organization. Instead, organizations have goals set by a temporarily dominant coalition, which itself has no permanent goals and whose membership is subject to change. Members of the dominant coalition make decisions by bargaining, negotiating, and making side payments. Organizational decision making is the product of the game rather than a rational, goal-oriented process. Individual decision making is rational in the narrow sense that individuals pursue individual, self-interested goals, though this cannot always be accomplished directly. Individuals must pick their fights and use their influence carefully.

To understand and possibly predict what organizations will do, it is necessary to uncover and analyze the membership of the dominant coalition . The formal organizational chart is not a reliable map of organizational power. Instead, analysts must discover authority. Individuals gain authority by being able to resolve uncertainty. Individuals that can unravel technical problems, attract resources, or manage internal conflict demonstrate their usefulness to the rest of the organization and gain power. Working in concert with others who can perform similarly valuable functions, they become part of the dominant coalition. The size and composition of the dominant coalition depend on the types of environmental, technical, or coordinating uncertainty that must be resolved for the organization to survive. More technically complex, larger organizations in rapidly changing environments will tend to have larger dominant coalitions.

Master the 7-Step Problem-Solving Process for Better Decision-Making

Discover the powerful 7-Step Problem-Solving Process to make better decisions and achieve better outcomes. Master the art of problem-solving in this comprehensive guide. Download the Free PowerPoint and PDF Template.

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Introduction.

The 7-Step Problem-Solving Process involves steps that guide you through the problem-solving process. The first step is to define the problem, followed by disaggregating the problem into smaller, more manageable parts. Next, you prioritize the features and create a work plan to address each. Then, you analyze each piece, synthesize the information, and communicate your findings to others.

In this article, we'll explore each step of the 7-Step Problem-Solving Process in detail so you can start mastering this valuable skill. At the end of the blog post, you can download the process's free PowerPoint and PDF templates .

Step 1: Define the Problem

One way to define the problem is to ask the right questions. Questions like "What is the problem?" and "What are the causes of the problem?" can help. Gathering data and information about the issue to assist in the definition process is also essential.

Step 2: Disaggregate

After defining the problem, the next step in the 7-step problem-solving process is to disaggregate the problem into smaller, more manageable parts. Disaggregation helps break down the problem into smaller pieces that can be analyzed individually. This step is crucial in understanding the root cause of the problem and identifying the most effective solutions.

Disaggregation helps in breaking down complex problems into smaller, more manageable parts. It helps understand the relationships between different factors contributing to the problem and identify the most critical factors that must be addressed. By disaggregating the problem, decision-makers can focus on the most vital areas, leading to more effective solutions.

Step 3: Prioritize

Once the issues have been prioritized, developing a plan of action to address them is essential. This involves identifying the resources required, setting timelines, and assigning responsibilities.

Step 4: Workplan

The work plan should include a list of tasks, deadlines, and responsibilities for each team member involved in the problem-solving process. Assigning tasks based on each team member's strengths and expertise ensures the work is completed efficiently and effectively.

Developing a work plan is a critical step in the problem-solving process. It provides a clear roadmap for solving the problem and ensures everyone involved is aligned and working towards the same goal.

Step 5: Analysis

Pareto analysis is another method that can be used during the analysis phase. This method involves identifying the 20% of causes responsible for 80% of the problems. By focusing on these critical causes, organizations can make significant improvements.

Step 6: Synthesize

Once the analysis phase is complete, it is time to synthesize the information gathered to arrive at a solution. During this step, the focus is on identifying the most viable solution that addresses the problem. This involves examining and combining the analysis results for a clear and concise conclusion.

During the synthesis phase, it is vital to remain open-minded and consider all potential solutions. Involving all stakeholders in the decision-making process is essential to ensure everyone's perspectives are considered.

Step 7: Communicate

In addition to the report, a presentation explaining the findings is essential. The presentation should be tailored to the audience and highlight the report's key points. Visual aids such as tables, graphs, and charts can make the presentation more engaging.

The 7-step problem-solving process is a powerful tool for helping individuals and organizations make better decisions. By following these steps, individuals can identify the root cause of a problem, prioritize potential solutions, and develop a clear plan of action. This process can be applied to various scenarios, from personal challenges to complex business problems.

By mastering the 7-step problem-solving process, individuals can become more effective decision-makers and problem-solvers. This process can help individuals and organizations save time and resources while improving outcomes. With practice, individuals can develop the skills to apply this process to a wide range of scenarios and make better decisions in all areas of life.

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Clinical problem solving and diagnostic decision making: selective review of the cognitive literature

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This article has a correction. Please see:

• Clinical problem solving and diagnostic decision making: selective review of the cognitive literature - November 02, 2006
• Arthur S Elstein , professor ([email protected]) ,
• Alan Schwarz , assistant professor of clinical decision making.
• Department of Medical Education, University of Illinois College of Medicine, Chicago, IL 60612-7309, USA
• Correspondence to: A S Elstein

This is the fourth in a series of five articles

This article reviews our current understanding of the cognitive processes involved in diagnostic reasoning in clinical medicine. It describes and analyses the psychological processes employed in identifying and solving diagnostic problems and reviews errors and pitfalls in diagnostic reasoning in the light of two particularly influential approaches: problem solving 1 , 2 , 3 and decision making. 4 , 5 , 6 , 7 , 8 Problem solving research was initially aimed at describing reasoning by expert physicians, to improve instruction of medical students and house officers. Psychological decision research has been influenced from the start by statistical models of reasoning under uncertainty, and has concentrated on identifying departures from these standards.

Summary points

Problem solving and decision making are two paradigms for psychological research on clinical reasoning, each with its own assumptions and methods

The choice of strategy for diagnostic problem solving depends on the perceived difficulty of the case and on knowledge of content as well as strategy

Final conclusions should depend both on prior belief and strength of the evidence

Conclusions reached by Bayes's theorem and clinical intuition may conflict

Because of cognitive limitations, systematic biases and errors result from employing simpler rather than more complex cognitive strategies

Evidence based medicine applies decision theory to clinical diagnosis

Problem solving

Diagnosis as selecting a hypothesis.

The earliest psychological formulation viewed diagnostic reasoning as a process of testing hypotheses. Solutions to difficult diagnostic problems were found by generating a limited number of hypotheses early in the diagnostic process and using them to guide subsequent collection of data. 1 Each hypothesis can be used to predict what additional findings ought to be present if it were true, and the diagnostic process is a guided search for these findings. Experienced physicians form hypotheses and their diagnostic plan rapidly, and the …

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What Is Creative Problem-Solving & Why Is It Important?

• 01 Feb 2022

One of the biggest hindrances to innovation is complacency—it can be more comfortable to do what you know than venture into the unknown. Business leaders can overcome this barrier by mobilizing creative team members and providing space to innovate.

There are several tools you can use to encourage creativity in the workplace. Creative problem-solving is one of them, which facilitates the development of innovative solutions to difficult problems.

Here’s an overview of creative problem-solving and why it’s important in business.

Access your free e-book today.

What Is Creative Problem-Solving?

Research is necessary when solving a problem. But there are situations where a problem’s specific cause is difficult to pinpoint. This can occur when there’s not enough time to narrow down the problem’s source or there are differing opinions about its root cause.

In such cases, you can use creative problem-solving , which allows you to explore potential solutions regardless of whether a problem has been defined.

Creative problem-solving is less structured than other innovation processes and encourages exploring open-ended solutions. It also focuses on developing new perspectives and fostering creativity in the workplace . Its benefits include:

• Finding creative solutions to complex problems : User research can insufficiently illustrate a situation’s complexity. While other innovation processes rely on this information, creative problem-solving can yield solutions without it.
• Adapting to change : Business is constantly changing, and business leaders need to adapt. Creative problem-solving helps overcome unforeseen challenges and find solutions to unconventional problems.
• Fueling innovation and growth : In addition to solutions, creative problem-solving can spark innovative ideas that drive company growth. These ideas can lead to new product lines, services, or a modified operations structure that improves efficiency.

Creative problem-solving is traditionally based on the following key principles :

1. Balance Divergent and Convergent Thinking

Creative problem-solving uses two primary tools to find solutions: divergence and convergence. Divergence generates ideas in response to a problem, while convergence narrows them down to a shortlist. It balances these two practices and turns ideas into concrete solutions.

2. Reframe Problems as Questions

By framing problems as questions, you shift from focusing on obstacles to solutions. This provides the freedom to brainstorm potential ideas.

3. Defer Judgment of Ideas

When brainstorming, it can be natural to reject or accept ideas right away. Yet, immediate judgments interfere with the idea generation process. Even ideas that seem implausible can turn into outstanding innovations upon further exploration and development.

4. Focus on "Yes, And" Instead of "No, But"

Using negative words like "no" discourages creative thinking. Instead, use positive language to build and maintain an environment that fosters the development of creative and innovative ideas.

Creative Problem-Solving and Design Thinking

Whereas creative problem-solving facilitates developing innovative ideas through a less structured workflow, design thinking takes a far more organized approach.

Design thinking is a human-centered, solutions-based process that fosters the ideation and development of solutions. In the online course Design Thinking and Innovation , Harvard Business School Dean Srikant Datar leverages a four-phase framework to explain design thinking.

The four stages are:

• Clarify: The clarification stage allows you to empathize with the user and identify problems. Observations and insights are informed by thorough research. Findings are then reframed as problem statements or questions.
• Ideate: Ideation is the process of coming up with innovative ideas. The divergence of ideas involved with creative problem-solving is a major focus.
• Develop: In the development stage, ideas evolve into experiments and tests. Ideas converge and are explored through prototyping and open critique.
• Implement: Implementation involves continuing to test and experiment to refine the solution and encourage its adoption.

Creative problem-solving primarily operates in the ideate phase of design thinking but can be applied to others. This is because design thinking is an iterative process that moves between the stages as ideas are generated and pursued. This is normal and encouraged, as innovation requires exploring multiple ideas.

Creative Problem-Solving Tools

While there are many useful tools in the creative problem-solving process, here are three you should know:

Creating a Problem Story

One way to innovate is by creating a story about a problem to understand how it affects users and what solutions best fit their needs. Here are the steps you need to take to use this tool properly.

1. Identify a UDP

Create a problem story to identify the undesired phenomena (UDP). For example, consider a company that produces printers that overheat. In this case, the UDP is "our printers overheat."

2. Move Forward in Time

To move forward in time, ask: “Why is this a problem?” For example, minor damage could be one result of the machines overheating. In more extreme cases, printers may catch fire. Don't be afraid to create multiple problem stories if you think of more than one UDP.

3. Move Backward in Time

To move backward in time, ask: “What caused this UDP?” If you can't identify the root problem, think about what typically causes the UDP to occur. For the overheating printers, overuse could be a cause.

Following the three-step framework above helps illustrate a clear problem story:

• The printer is overused.
• The printer overheats.
• The printer breaks down.

You can extend the problem story in either direction if you think of additional cause-and-effect relationships.

4. Break the Chains

By this point, you’ll have multiple UDP storylines. Take two that are similar and focus on breaking the chains connecting them. This can be accomplished through inversion or neutralization.

• Inversion: Inversion changes the relationship between two UDPs so the cause is the same but the effect is the opposite. For example, if the UDP is "the more X happens, the more likely Y is to happen," inversion changes the equation to "the more X happens, the less likely Y is to happen." Using the printer example, inversion would consider: "What if the more a printer is used, the less likely it’s going to overheat?" Innovation requires an open mind. Just because a solution initially seems unlikely doesn't mean it can't be pursued further or spark additional ideas.
• Neutralization: Neutralization completely eliminates the cause-and-effect relationship between X and Y. This changes the above equation to "the more or less X happens has no effect on Y." In the case of the printers, neutralization would rephrase the relationship to "the more or less a printer is used has no effect on whether it overheats."

Even if creating a problem story doesn't provide a solution, it can offer useful context to users’ problems and additional ideas to be explored. Given that divergence is one of the fundamental practices of creative problem-solving, it’s a good idea to incorporate it into each tool you use.

Brainstorming

Brainstorming is a tool that can be highly effective when guided by the iterative qualities of the design thinking process. It involves openly discussing and debating ideas and topics in a group setting. This facilitates idea generation and exploration as different team members consider the same concept from multiple perspectives.

Hosting brainstorming sessions can result in problems, such as groupthink or social loafing. To combat this, leverage a three-step brainstorming method involving divergence and convergence :

• Have each group member come up with as many ideas as possible and write them down to ensure the brainstorming session is productive.
• Continue the divergence of ideas by collectively sharing and exploring each idea as a group. The goal is to create a setting where new ideas are inspired by open discussion.
• Begin the convergence of ideas by narrowing them down to a few explorable options. There’s no "right number of ideas." Don't be afraid to consider exploring all of them, as long as you have the resources to do so.

Alternate Worlds

The alternate worlds tool is an empathetic approach to creative problem-solving. It encourages you to consider how someone in another world would approach your situation.

For example, if you’re concerned that the printers you produce overheat and catch fire, consider how a different industry would approach the problem. How would an automotive expert solve it? How would a firefighter?

Be creative as you consider and research alternate worlds. The purpose is not to nail down a solution right away but to continue the ideation process through diverging and exploring ideas.

Continue Developing Your Skills

Whether you’re an entrepreneur, marketer, or business leader, learning the ropes of design thinking can be an effective way to build your skills and foster creativity and innovation in any setting.

If you're ready to develop your design thinking and creative problem-solving skills, explore Design Thinking and Innovation , one of our online entrepreneurship and innovation courses. If you aren't sure which course is the right fit, download our free course flowchart to determine which best aligns with your goals.

About the Author

Solving time-delay issues in reinforcement learning via transformers

• Published: 10 September 2024

Cite this article

• Bo Xia   ORCID: orcid.org/0009-0003-3507-9732 1 ,
• Zaihui Yang 1 ,
• Minzhi Xie 1 ,
• Yongzhe Chang 1 ,
• Bo Yuan   ORCID: orcid.org/0000-0003-2169-0007 2 ,
• Zhiheng Li 1 ,
• Xueqian Wang   ORCID: orcid.org/0000-0003-3542-0593 1 &
• Bin Liang 3  

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The presence of observation and action delays in remote control scenarios significantly challenges the decision-making of agents that depend on immediate interactions, particularly within traditional deep reinforcement learning (DRL) algorithms. Existing approaches attempt to tackle this problem through various strategies, such as predicting delayed states, transforming delayed Markov Decision Processes (MDPs) into delay-free equivalents. However, both model-free and model-based methods require extensive online data, making them time-consuming and resource-intensive. To effectively handle time-delay challenges and develop a competent and robust RL algorithm, the Augmented Decision Transformer (ADT) is proposed as the first offline RL algorithm designed to enable agents to manage diverse tasks with various constant delays. It transforms a deterministic delayed MDP (DDMDP) into a standard MDP by simulating trajectories in delayed environments using offline dataset from undelayed environments. The Decision Transformer, an autoregressive model, is then employed to train a decision model based on expected rewards, past state sequences and past action sequences. Extensive experiments conducted on MuJoCo and Adroit tasks validate the robustness and efficiency of the ADT, with its average performance across all tasks being 56% better than the worst-performing comparative algorithms. The results demonstrate that the ADT can outperform state-of-the-art RL counterparts, achieving superior performance across various tasks with different delay conditions.

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\(\delta (x - x_0) = {\left\{ \begin{array}{ll} 1, & \text {if }x=x_0, \\ {0}, & \text {others.} \end{array}\right. }\)

\(c_i\) represents the action selected at time i before the first state is observed.

https://github.com/Farama-Foundation/D4RL

https://mujoco.org/

https://github.com/aravindr93/hand_dapg

https://gym.openai.com/

https://github.com/young-geng/CQL

https://github.com/sfujim/TD3_BC

https://github.com/rmst/rlrd

https://github.com/baimingc/dambrl

https://github.com/pranz24/pytorch-soft-actor-critic

van Dis EA, Bollen J, Zuidema W et al (2023) Chatgpt: five priorities for research. Nature 614(7947):224–226

Degrave J, Felici F, Buchli J et al (2022) Magnetic control of tokamak plasmas through deep reinforcement learning. Nature 602(7897):414–419

Article   Google Scholar  

Zhang R, Lv Q, Li J et al (2022) A reinforcement learning method for human-robot collaboration in assembly tasks. Robot Comput Integr Manuf 73:102227

Jiang W, Liu K, Charalambous T (2022) Multi-agent consensus with heterogeneous time-varying input and communication delays in digraphs. Automatica 135:109950

Article   MathSciNet   Google Scholar  

Jiang W, Chen Y, Charalambous T (2020) Consensus of general linear multi-agent systems with heterogeneous input and communication delays. IEEE Control Systems Letters 5(3):851–856

Chen H, Liu Z (2021) Time-delay prediction-based smith predictive control for space teleoperation. J Guid Control Dyn 44(4):872–879

Guerrero J, Chemori A, Torres J et al (2023) Time-delay high-order sliding mode control for trajectory tracking of autonomous underwater vehicles under disturbances. Ocean Eng 268:113375

Liu H, Wang L (2020) Remote human-robot collaboration: A cyber-physical system application for hazard manufacturing environment. J Manuf Syst 54:24–34

Zhou X, Yang Z, Ren Y et al (2023) Modified bilateral active estimation model: A learning-based solution to the time delay problem in robotic tele-control. IEEE Robot Autom Lett 8(5):2653–2660

Haarnoja T, Zhou A, Abbeel P et al (2018) Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor. In: International conference on machine learning, PMLR, pp 1861–1870

Deng Y, Léchappé V, Moulay E et al (2022) Predictor-based control of time-delay systems: a survey. Int J Syst Sci 53(12):2496–2534

Zhang XM, Han QL, Ge X (2022) The construction of augmented lyapunov-krasovskii functionals and the estimation of their derivatives in stability analysis of time-delay systems: A survey. Int J Syst Sci 53(12):2480–2495

Ali A, Zhu Y, Zakarya M (2022) Exploiting dynamic spatio-temporal graph convolutional neural networks for citywide traffic flows prediction. Neural Netw 145:233–247

Ali A, Zhu Y, Zakarya M (2021) Exploiting dynamic spatio-temporal correlations for citywide traffic flow prediction using attention based neural networks. Inf Sci 577:852–870

Ali A, Zhu Y, Zakarya M (2021) A data aggregation based approach to exploit dynamic spatio-temporal correlations for citywide crowd flows prediction in fog computing. Multimed Tools Appl 80(20):31401–31433

Walsh TJ, Nouri A, Li L et al (2009) Learning and planning in environments with delayed feedback. Auton Agent Multi-Agent Syst 18:83–105

Hester T, Stone P (2013) Texplore: real-time sample-efficient reinforcement learning for robots. Mach Learn 90:385–429

Derman E, Dalal G, Mannor S (2020) Acting in delayed environments with non-stationary markov policies. In: International conference on learning representations

Katsikopoulos KV, Engelbrecht SE (2003) Markov decision processes with delays and asynchronous cost collection. IEEE Trans Autom Control 48(4):568–574

Nath S, Baranwal M, Khadilkar H (2021) Revisiting state augmentation methods for reinforcement learning with stochastic delays. In: Proceedings of the 30th ACM international conference on information & knowledge management, pp 1346–1355

Ramstedt S, Pal C (2019) Real-time reinforcement learning. Adv Neural Inf Process Syst 32

Xiao T, Jang E, Kalashnikov D et al (2019) Thinking while moving: Deep reinforcement learning with concurrent control. In: International conference on learning representations

Bouteiller Y, Ramstedt S, Beltrame G et al (2021) Reinforcement learning with random delays. In: International conference on learning representations

Chen L, Lu K, Rajeswaran A et al (2021) Decision transformer: Reinforcement learning via sequence modeling. Adv Neural Inf Process Syst 34:15084–15097

Google Scholar  

Schuitema E, Buşoniu L, Babuška R et al (2010) Control delay in reinforcement learning for real-time dynamic systems: A memoryless approach. In: 2010 IEEE/RSJ International conference on intelligent robots and systems, IEEE, pp 3226–3231

Agarwal M, Aggarwal V (2021) Blind decision making: Reinforcement learning with delayed observations. Pattern Recogn Lett 150:176–182

Chen B, Xu M, Li L et al (2021) Delay-aware model-based reinforcement learning for continuous control. Neurocomputing 450:119–128

Prudencio RF, Maximo MR, Colombini EL (2023) A survey on offline reinforcement learning: Taxonomy, review, and open problems. IEEE Trans Neural Netw Learn Syst

Fujimoto S, Meger D, Precup D (2019) Off-policy deep reinforcement learning without exploration. In: International conference on machine learning, PMLR, pp 2052–2062

Kumar A, Fu J, Soh M et al (2019) Stabilizing off-policy q-learning via bootstrapping error reduction. Adv Neural Inf Process Syst 32

Fujimoto S, Gu SS (2021) A minimalist approach to offline reinforcement learning. Adv Neural Inf Process Syst 34:20132–20145

Kumar A, Zhou A, Tucker G et al (2020) Conservative q-learning for offline reinforcement learning. Adv Neural Inf Process Syst 33:1179–1191

Yu T, Kumar A, Rafailov R et al (2021) Combo: Conservative offline model-based policy optimization. Adv Neural Inf Process Syst 34:28954–28967

Janner M, Fu J, Zhang M et al (2019) When to trust your model: Model-based policy optimization. Adv Neural Inf Process Syst 32

Kidambi R, Rajeswaran A, Netrapalli P et al (2020) Morel: Model-based offline reinforcement learning. Adv Neural Inf Process Syst 33:21810–21823

Zhang R, Dai B, Li L et al (2020) Gendice: Generalized offline estimation of stationary values. Int Conf Learn Representations

Janner M, Li Q, Levine S (2021) Offline reinforcement learning as one big sequence modeling problem. Adv Neural Inf Process Syst 34:1273–1286

Li W, Luo H, Lin Z et al (2023) A survey on transformers in reinforcement learning. Transactions on Machine Learning Research pp 2835–8856

Vinyals O, Babuschkin I, Czarnecki WM et al (2019) Grandmaster level in starcraft ii using multi-agent reinforcement learning. Nature 575(7782):350–354

Parisotto E, Song F, Rae J, et al (2020) Stabilizing transformers for reinforcement learning. In: International conference on machine learning, PMLR, pp 7487–7498

Micheli V, Alonso E, Fleuret F (2023) Transformers are sample efficient world models

Ozair S, Li Y, Razavi A et al (2021) Vector quantized models for planning. In: international conference on machine learning, PMLR, pp 8302–8313

Paster K, McIlraith S, Ba J (2022) You can’t count on luck: Why decision transformers and rvs fail in stochastic environments. Adv Neural Inf Process Syst 35:38966–38979

Yang M, Schuurmans D, Abbeel P et al (2023) Dichotomy of control: Separating what you can control from what you cannot. The Eleventh International Conference on Learning Representations

Lee KH, Nachum O, Yang M et al (2022) Multi-game decision transformers. Adv Neural Inf Process Syst

Sutton RS, Barto AG (2018) Reinforcement learning: An introduction. MIT press

Hu K, Zheng RC, Gao Y et al (2023) Decision transformer under random frame dropping. The Eleventh International Conference on Learning Representations

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Shenzhen International Graduate School, Tsinghua University, Shenzhen, 518055, China

Bo Xia, Zaihui Yang, Minzhi Xie, Yongzhe Chang, Zhiheng Li & Xueqian Wang

Research Institute of Tsinghua University in Shenzhen, Shenzhen, 518057, China

Department of Automation, Tsinghua University, Beijing, 100084, China

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− Conceptualization: Bo Xia and Xueqian Wang− Methodology: Bo Xia and Xueqian Wang− Formal analysis and investigation: Bo Xia, Zaihui Yang, and Minzhi Xie− Writing - original draft preparation: Bo Xia, Minzhi Xie, Bo Yuan, and Yongzhe Chang− Writing - review and editing: Bo Xia, Bo Yuan, Zhiheng Li, and Xueqian Wang− Supervision: Yongzhe Chang, Bo Yuan, Zhiheng Li, Xueqian Wang, and Bin Liang− Funding acquisition: Xueqian Wang and Bin Liang

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Appendix A: Expert rewards for different algorithms and tasks

For offline RL algorithms, including ADT, CQL, TD3_BC, and BC, the expert rewards for various tasks are sourced from D4RL. For the RLRD and SAC algorithms, the expert rewards for MuJoCo tasks are obtained from Tianshou, while the expert rewards for Adroit tasks (including pen, door, relocate, and hammer) are derived from the average experimental results of three different seeds. For the DATS algorithm, as reward functions for Adroit tasks are not designed, only MuJoCo tasks are considered, and the expert rewards are similarly obtained from the average of three different experiments.

Table 13 shows all the expert rewards in various environments with different algorithms.

Appendix B: More results and analysis

Tables 14 through 21 present the average normalized returns from ten test runs under delays 1 to 3, for eight tasks in MuJoCo and Adroit environments, using expert and medium-expert datasets. Each column’s “Dataset” string indicates the delay and dataset type, e.g., “1-e” represents a delay of 1 using the expert dataset. The “Average” value in the last row of each table reflects the overall performance of each algorithm, averaged across all delays and datasets for easier comparison.

From these tables, the following conclusions can be drawn: (1) For most tasks, the performance generally declines as the delay increases when using the same dataset and algorithm in a delay-free environment. This is due to the increasing discrepancy between the observed state and the actual state, impacting decision quality. However, ADT outperforms other algorithms in most tasks and exhibits a slower performance decline with increasing delay. This is attributed to ADT’s trajectory optimization approach and reward-guided updates, leveraging the Transformer architecture to deeply explore information context. (2) The experimental results indicate that for the same task and delay, policies trained on the expert dataset generally outperform those trained on the medium-expert dataset. This suggests that having more expert-level trajectories in the dataset, given a similar number of trajectories, is beneficial for policy learning. (3) Adroit tasks present significant challenges for conventional offline reinforcement learning methods due to their large action space and sparse reward settings. Further research is required to address the policy learning problem with limited expert trajectories in such tasks.

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Xia, B., Yang, Z., Xie, M. et al. Solving time-delay issues in reinforcement learning via transformers. Appl Intell (2024). https://doi.org/10.1007/s10489-024-05830-2

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Accepted : 30 August 2024

Published : 10 September 2024

DOI : https://doi.org/10.1007/s10489-024-05830-2

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