data analysis case study template

Data Analysis Case Study: Learn From Humana’s Automated Data Analysis Project

Lillian Pierson, P.E.

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Got data? Great! Looking for that perfect data analysis case study to help you get started using it? You’re in the right place.

If you’ve ever struggled to decide what to do next with your data projects, to actually find meaning in the data, or even to decide what kind of data to collect, then KEEP READING…

Deep down, you know what needs to happen. You need to initiate and execute a data strategy that really moves the needle for your organization. One that produces seriously awesome business results.

But how you’re in the right place to find out..

As a data strategist who has worked with 10 percent of Fortune 100 companies, today I’m sharing with you a case study that demonstrates just how real businesses are making real wins with data analysis. 

In the post below, we’ll look at:

• A shining data success story;
• What went on ‘under-the-hood’ to support that successful data project; and
• The exact data technologies used by the vendor, to take this project from pure strategy to pure success

If you prefer to watch this information rather than read it, it’s captured in the video below:

Here’s the url too: https://youtu.be/xMwZObIqvLQ

3 Action Items You Need To Take

To actually use the data analysis case study you’re about to get – you need to take 3 main steps. Those are:

• Reflect upon your organization as it is today (I left you some prompts below – to help you get started)
• Review winning data case collections (starting with the one I’m sharing here) and identify 5 that seem the most promising for your organization given it’s current set-up
• Assess your organization AND those 5 winning case collections. Based on that assessment, select the “QUICK WIN” data use case that offers your organization the most bang for it’s buck

Step 1: Reflect Upon Your Organization

Whenever you evaluate data case collections to decide if they’re a good fit for your organization, the first thing you need to do is organize your thoughts with respect to your organization as it is today.

Before moving into the data analysis case study, STOP and ANSWER THE FOLLOWING QUESTIONS – just to remind yourself:

• What is the business vision for our organization?
• What industries do we primarily support?
• What data technologies do we already have up and running, that we could use to generate even more value?
• What team members do we have to support a new data project? And what are their data skillsets like?
• What type of data are we mostly looking to generate value from? Structured? Semi-Structured? Un-structured? Real-time data? Huge data sets? What are our data resources like?

Jot down some notes while you’re here. Then keep them in mind as you read on to find out how one company, Humana, used its data to achieve a 28 percent increase in customer satisfaction. Also include its 63 percent increase in employee engagement! (That’s such a seriously impressive outcome, right?!)

Step 2: Review Data Case Studies

Here we are, already at step 2. It’s time for you to start reviewing data analysis case studies  (starting with the one I’m sharing below). I dentify 5 that seem the most promising for your organization given its current set-up.

Humana’s Automated Data Analysis Case Study

The key thing to note here is that the approach to creating a successful data program varies from industry to industry .

Let’s start with one to demonstrate the kind of value you can glean from these kinds of success stories.

Humana has provided health insurance to Americans for over 50 years. It is a service company focused on fulfilling the needs of its customers. A great deal of Humana’s success as a company rides on customer satisfaction, and the frontline of that battle for customers’ hearts and minds is Humana’s customer service center.

Call centers are hard to get right. A lot of emotions can arise during a customer service call, especially one relating to health and health insurance. Sometimes people are frustrated. At times, they’re upset. Also, there are times the customer service representative becomes aggravated, and the overall tone and progression of the phone call goes downhill. This is of course very bad for customer satisfaction.

Humana wanted to use artificial intelligence to improve customer satisfaction (and thus, customer retention rates & profits per customer).

Humana wanted to find a way to use artificial intelligence to monitor their phone calls and help their agents do a better job connecting with their customers in order to improve customer satisfaction (and thus, customer retention rates & profits per customer ).

In light of their business need, Humana worked with a company called Cogito, which specializes in voice analytics technology.

Cogito offers a piece of AI technology called Cogito Dialogue. It’s been trained to identify certain conversational cues as a way of helping call center representatives and supervisors stay actively engaged in a call with a customer.

The AI listens to cues like the customer’s voice pitch.

If it’s rising, or if the call representative and the customer talk over each other, then the dialogue tool will send out electronic alerts to the agent during the call.

Humana fed the dialogue tool customer service data from 10,000 calls and allowed it to analyze cues such as keywords, interruptions, and pauses, and these cues were then linked with specific outcomes. For example, if the representative is receiving a particular type of cues, they are likely to get a specific customer satisfaction result.

The Outcome

Customers were happier, and customer service representatives were more engaged..

This automated solution for data analysis has now been deployed in 200 Humana call centers and the company plans to roll it out to 100 percent of its centers in the future.

The initiative was so successful, Humana has been able to focus on next steps in its data program. The company now plans to begin predicting the type of calls that are likely to go unresolved, so they can send those calls over to management before they become frustrating to the customer and customer service representative alike.

What does this mean for you and your business?

Well, if you’re looking for new ways to generate value by improving the quantity and quality of the decision support that you’re providing to your customer service personnel, then this may be a perfect example of how you can do so.

Humana’s Business Use Cases

Humana’s data analysis case study includes two key business use cases:

• Analyzing customer sentiment; and
• Suggesting actions to customer service representatives.

Analyzing Customer Sentiment

First things first, before you go ahead and collect data, you need to ask yourself who and what is involved in making things happen within the business.

In the case of Humana, the actors were:

• The health insurance system itself
• The customer, and
• The customer service representative

As you can see in the use case diagram above, the relational aspect is pretty simple. You have a customer service representative and a customer. They are both producing audio data, and that audio data is being fed into the system.

Humana focused on collecting the key data points, shown in the image below, from their customer service operations.

By collecting data about speech style, pitch, silence, stress in customers’ voices, length of call, speed of customers’ speech, intonation, articulation, silence, and representatives’  manner of speaking, Humana was able to analyze customer sentiment and introduce techniques for improved customer satisfaction.

Having strategically defined these data points, the Cogito technology was able to generate reports about customer sentiment during the calls.

Suggesting actions to customer service representatives.

The second use case for the Humana data program follows on from the data gathered in the first case.

In Humana’s case, Cogito generated a host of call analyses and reports about key call issues.

In the second business use case, Cogito was able to suggest actions to customer service representatives, in real-time , to make use of incoming data and help improve customer satisfaction on the spot.

The technology Humana used provided suggestions via text message to the customer service representative, offering the following types of feedback:

• The tone of voice is too tense
• The speed of speaking is high
• The customer representative and customer are speaking at the same time

These alerts allowed the Humana customer service representatives to alter their approach immediately , improving the quality of the interaction and, subsequently, the customer satisfaction.

The preconditions for success in this use case were:

• The call-related data must be collected and stored
• The AI models must be in place to generate analysis on the data points that are recorded during the calls

Evidence of success can subsequently be found in a system that offers real-time suggestions for courses of action that the customer service representative can take to improve customer satisfaction.

Thanks to this data-intensive business use case, Humana was able to increase customer satisfaction, improve customer retention rates, and drive profits per customer.

The Technology That Supports This Data Analysis Case Study

I promised to dip into the tech side of things. This is especially for those of you who are interested in the ins and outs of how projects like this one are actually rolled out.

Here’s a little rundown of the main technologies we discovered when we investigated how Cogito runs in support of its clients like Humana.

• For cloud data management Cogito uses AWS, specifically the Athena product
• For on-premise big data management, the company used Apache HDFS – the distributed file system for storing big data
• They utilize MapReduce, for processing their data
• And Cogito also has traditional systems and relational database management systems such as PostgreSQL
• In terms of analytics and data visualization tools, Cogito makes use of Tableau
• And for its machine learning technology, these use cases required people with knowledge in Python, R, and SQL, as well as deep learning (Cogito uses the PyTorch library and the TensorFlow library)

These data science skill sets support the effective computing, deep learning , and natural language processing applications employed by Humana for this use case.

If you’re looking to hire people to help with your own data initiative, then people with those skills listed above, and with experience in these specific technologies, would be a huge help.

Step 3: S elect The “Quick Win” Data Use Case

Still there? Great!

It’s time to close the loop.

Remember those notes you took before you reviewed the study? I want you to STOP here and assess. Does this Humana case study seem applicable and promising as a solution, given your organization’s current set-up…

YES ▶ Excellent!

Earmark it and continue exploring other winning data use cases until you’ve identified 5 that seem like great fits for your businesses needs. Evaluate those against your organization’s needs, and select the very best fit to be your “quick win” data use case. Develop your data strategy around that.

NO , Lillian – It’s not applicable. ▶  No problem.

Discard the information and continue exploring the winning data use cases we’ve categorized for you according to business function and industry. Save time by dialing down into the business function you know your business really needs help with now. Identify 5 winning data use cases that seem like great fits for your businesses needs. Evaluate those against your organization’s needs, and select the very best fit to be your “quick win” data use case. Develop your data strategy around that data use case.

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10 Real World Data Science Case Studies Projects with Example

Top 10 Data Science Case Studies Projects with Examples and Solutions in Python to inspire your data science learning in 2023.

BelData science has been a trending buzzword in recent times. With wide applications in various sectors like healthcare , education, retail, transportation, media, and banking -data science applications are at the core of pretty much every industry out there. The possibilities are endless: analysis of frauds in the finance sector or the personalization of recommendations on eCommerce businesses.  We have developed ten exciting data science case studies to explain how data science is leveraged across various industries to make smarter decisions and develop innovative personalized products tailored to specific customers.

Walmart Sales Forecasting Data Science Project

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Table of Contents

Data science case studies in retail , data science case study examples in entertainment industry , data analytics case study examples in travel industry , case studies for data analytics in social media , real world data science projects in healthcare, data analytics case studies in oil and gas, what is a case study in data science, how do you prepare a data science case study, 10 most interesting data science case studies with examples.

So, without much ado, let's get started with data science business case studies !

With humble beginnings as a simple discount retailer, today, Walmart operates in 10,500 stores and clubs in 24 countries and eCommerce websites, employing around 2.2 million people around the globe. For the fiscal year ended January 31, 2021, Walmart's total revenue was $559 billion showing a growth of $35 billion with the expansion of the eCommerce sector. Walmart is a data-driven company that works on the principle of 'Everyday low cost' for its consumers. To achieve this goal, they heavily depend on the advances of their data science and analytics department for research and development, also known as Walmart Labs. Walmart is home to the world's largest private cloud, which can manage 2.5 petabytes of data every hour! To analyze this humongous amount of data, Walmart has created 'Data Café,' a state-of-the-art analytics hub located within its Bentonville, Arkansas headquarters. The Walmart Labs team heavily invests in building and managing technologies like cloud, data, DevOps , infrastructure, and security.

Walmart is experiencing massive digital growth as the world's largest retailer . Walmart has been leveraging Big data and advances in data science to build solutions to enhance, optimize and customize the shopping experience and serve their customers in a better way. At Walmart Labs, data scientists are focused on creating data-driven solutions that power the efficiency and effectiveness of complex supply chain management processes. Here are some of the applications of data science  at Walmart:

i) Personalized Customer Shopping Experience

Walmart analyses customer preferences and shopping patterns to optimize the stocking and displaying of merchandise in their stores. Analysis of Big data also helps them understand new item sales, make decisions on discontinuing products, and the performance of brands.

ii) Order Sourcing and On-Time Delivery Promise

Millions of customers view items on Walmart.com, and Walmart provides each customer a real-time estimated delivery date for the items purchased. Walmart runs a backend algorithm that estimates this based on the distance between the customer and the fulfillment center, inventory levels, and shipping methods available. The supply chain management system determines the optimum fulfillment center based on distance and inventory levels for every order. It also has to decide on the shipping method to minimize transportation costs while meeting the promised delivery date.

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iii) Packing Optimization 

Also known as Box recommendation is a daily occurrence in the shipping of items in retail and eCommerce business. When items of an order or multiple orders for the same customer are ready for packing, Walmart has developed a recommender system that picks the best-sized box which holds all the ordered items with the least in-box space wastage within a fixed amount of time. This Bin Packing problem is a classic NP-Hard problem familiar to data scientists .

Whenever items of an order or multiple orders placed by the same customer are picked from the shelf and are ready for packing, the box recommendation system determines the best-sized box to hold all the ordered items with a minimum of in-box space wasted. This problem is known as the Bin Packing Problem, another classic NP-Hard problem familiar to data scientists.

Here is a link to a sales prediction data science case study to help you understand the applications of Data Science in the real world. Walmart Sales Forecasting Project uses historical sales data for 45 Walmart stores located in different regions. Each store contains many departments, and you must build a model to project the sales for each department in each store. This data science case study aims to create a predictive model to predict the sales of each product. You can also try your hands-on Inventory Demand Forecasting Data Science Project to develop a machine learning model to forecast inventory demand accurately based on historical sales data.

Get Closer To Your Dream of Becoming a Data Scientist with 70+ Solved End-to-End ML Projects

Amazon is an American multinational technology-based company based in Seattle, USA. It started as an online bookseller, but today it focuses on eCommerce, cloud computing , digital streaming, and artificial intelligence . It hosts an estimate of 1,000,000,000 gigabytes of data across more than 1,400,000 servers. Through its constant innovation in data science and big data Amazon is always ahead in understanding its customers. Here are a few data analytics case study examples at Amazon:

i) Recommendation Systems

Data science models help amazon understand the customers' needs and recommend them to them before the customer searches for a product; this model uses collaborative filtering. Amazon uses 152 million customer purchases data to help users to decide on products to be purchased. The company generates 35% of its annual sales using the Recommendation based systems (RBS) method.

Here is a Recommender System Project to help you build a recommendation system using collaborative filtering. 

ii) Retail Price Optimization

Amazon product prices are optimized based on a predictive model that determines the best price so that the users do not refuse to buy it based on price. The model carefully determines the optimal prices considering the customers' likelihood of purchasing the product and thinks the price will affect the customers' future buying patterns. Price for a product is determined according to your activity on the website, competitors' pricing, product availability, item preferences, order history, expected profit margin, and other factors.

Check Out this Retail Price Optimization Project to build a Dynamic Pricing Model.

iii) Fraud Detection

Being a significant eCommerce business, Amazon remains at high risk of retail fraud. As a preemptive measure, the company collects historical and real-time data for every order. It uses Machine learning algorithms to find transactions with a higher probability of being fraudulent. This proactive measure has helped the company restrict clients with an excessive number of returns of products.

You can look at this Credit Card Fraud Detection Project to implement a fraud detection model to classify fraudulent credit card transactions.

New Projects

Let us explore data analytics case study examples in the entertainment indusry.

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Netflix started as a DVD rental service in 1997 and then has expanded into the streaming business. Headquartered in Los Gatos, California, Netflix is the largest content streaming company in the world. Currently, Netflix has over 208 million paid subscribers worldwide, and with thousands of smart devices which are presently streaming supported, Netflix has around 3 billion hours watched every month. The secret to this massive growth and popularity of Netflix is its advanced use of data analytics and recommendation systems to provide personalized and relevant content recommendations to its users. The data is collected over 100 billion events every day. Here are a few examples of data analysis case studies applied at Netflix :

i) Personalized Recommendation System

Netflix uses over 1300 recommendation clusters based on consumer viewing preferences to provide a personalized experience. Some of the data that Netflix collects from its users include Viewing time, platform searches for keywords, Metadata related to content abandonment, such as content pause time, rewind, rewatched. Using this data, Netflix can predict what a viewer is likely to watch and give a personalized watchlist to a user. Some of the algorithms used by the Netflix recommendation system are Personalized video Ranking, Trending now ranker, and the Continue watching now ranker.

ii) Content Development using Data Analytics

Netflix uses data science to analyze the behavior and patterns of its user to recognize themes and categories that the masses prefer to watch. This data is used to produce shows like The umbrella academy, and Orange Is the New Black, and the Queen's Gambit. These shows seem like a huge risk but are significantly based on data analytics using parameters, which assured Netflix that they would succeed with its audience. Data analytics is helping Netflix come up with content that their viewers want to watch even before they know they want to watch it.

iii) Marketing Analytics for Campaigns

Netflix uses data analytics to find the right time to launch shows and ad campaigns to have maximum impact on the target audience. Marketing analytics helps come up with different trailers and thumbnails for other groups of viewers. For example, the House of Cards Season 5 trailer with a giant American flag was launched during the American presidential elections, as it would resonate well with the audience.

Here is a Customer Segmentation Project using association rule mining to understand the primary grouping of customers based on various parameters.

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In a world where Purchasing music is a thing of the past and streaming music is a current trend, Spotify has emerged as one of the most popular streaming platforms. With 320 million monthly users, around 4 billion playlists, and approximately 2 million podcasts, Spotify leads the pack among well-known streaming platforms like Apple Music, Wynk, Songza, amazon music, etc. The success of Spotify has mainly depended on data analytics. By analyzing massive volumes of listener data, Spotify provides real-time and personalized services to its listeners. Most of Spotify's revenue comes from paid premium subscriptions. Here are some of the examples of case study on data analytics used by Spotify to provide enhanced services to its listeners:

i) Personalization of Content using Recommendation Systems

Spotify uses Bart or Bayesian Additive Regression Trees to generate music recommendations to its listeners in real-time. Bart ignores any song a user listens to for less than 30 seconds. The model is retrained every day to provide updated recommendations. A new Patent granted to Spotify for an AI application is used to identify a user's musical tastes based on audio signals, gender, age, accent to make better music recommendations.

Spotify creates daily playlists for its listeners, based on the taste profiles called 'Daily Mixes,' which have songs the user has added to their playlists or created by the artists that the user has included in their playlists. It also includes new artists and songs that the user might be unfamiliar with but might improve the playlist. Similar to it is the weekly 'Release Radar' playlists that have newly released artists' songs that the listener follows or has liked before.

ii) Targetted marketing through Customer Segmentation

With user data for enhancing personalized song recommendations, Spotify uses this massive dataset for targeted ad campaigns and personalized service recommendations for its users. Spotify uses ML models to analyze the listener's behavior and group them based on music preferences, age, gender, ethnicity, etc. These insights help them create ad campaigns for a specific target audience. One of their well-known ad campaigns was the meme-inspired ads for potential target customers, which was a huge success globally.

iii) CNN's for Classification of Songs and Audio Tracks

Spotify builds audio models to evaluate the songs and tracks, which helps develop better playlists and recommendations for its users. These allow Spotify to filter new tracks based on their lyrics and rhythms and recommend them to users like similar tracks ( collaborative filtering). Spotify also uses NLP ( Natural language processing) to scan articles and blogs to analyze the words used to describe songs and artists. These analytical insights can help group and identify similar artists and songs and leverage them to build playlists.

Here is a Music Recommender System Project for you to start learning. We have listed another music recommendations dataset for you to use for your projects: Dataset1 . You can use this dataset of Spotify metadata to classify songs based on artists, mood, liveliness. Plot histograms, heatmaps to get a better understanding of the dataset. Use classification algorithms like logistic regression, SVM, and Principal component analysis to generate valuable insights from the dataset.

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Below you will find case studies for data analytics in the travel and tourism industry.

Airbnb was born in 2007 in San Francisco and has since grown to 4 million Hosts and 5.6 million listings worldwide who have welcomed more than 1 billion guest arrivals in almost every country across the globe. Airbnb is active in every country on the planet except for Iran, Sudan, Syria, and North Korea. That is around 97.95% of the world. Using data as a voice of their customers, Airbnb uses the large volume of customer reviews, host inputs to understand trends across communities, rate user experiences, and uses these analytics to make informed decisions to build a better business model. The data scientists at Airbnb are developing exciting new solutions to boost the business and find the best mapping for its customers and hosts. Airbnb data servers serve approximately 10 million requests a day and process around one million search queries. Data is the voice of customers at AirBnB and offers personalized services by creating a perfect match between the guests and hosts for a supreme customer experience. 

i) Recommendation Systems and Search Ranking Algorithms

Airbnb helps people find 'local experiences' in a place with the help of search algorithms that make searches and listings precise. Airbnb uses a 'listing quality score' to find homes based on the proximity to the searched location and uses previous guest reviews. Airbnb uses deep neural networks to build models that take the guest's earlier stays into account and area information to find a perfect match. The search algorithms are optimized based on guest and host preferences, rankings, pricing, and availability to understand users’ needs and provide the best match possible.

ii) Natural Language Processing for Review Analysis

Airbnb characterizes data as the voice of its customers. The customer and host reviews give a direct insight into the experience. The star ratings alone cannot be an excellent way to understand it quantitatively. Hence Airbnb uses natural language processing to understand reviews and the sentiments behind them. The NLP models are developed using Convolutional neural networks .

Practice this Sentiment Analysis Project for analyzing product reviews to understand the basic concepts of natural language processing.

iii) Smart Pricing using Predictive Analytics

The Airbnb hosts community uses the service as a supplementary income. The vacation homes and guest houses rented to customers provide for rising local community earnings as Airbnb guests stay 2.4 times longer and spend approximately 2.3 times the money compared to a hotel guest. The profits are a significant positive impact on the local neighborhood community. Airbnb uses predictive analytics to predict the prices of the listings and help the hosts set a competitive and optimal price. The overall profitability of the Airbnb host depends on factors like the time invested by the host and responsiveness to changing demands for different seasons. The factors that impact the real-time smart pricing are the location of the listing, proximity to transport options, season, and amenities available in the neighborhood of the listing.

Here is a Price Prediction Project to help you understand the concept of predictive analysis which is widely common in case studies for data analytics. 

Uber is the biggest global taxi service provider. As of December 2018, Uber has 91 million monthly active consumers and 3.8 million drivers. Uber completes 14 million trips each day. Uber uses data analytics and big data-driven technologies to optimize their business processes and provide enhanced customer service. The Data Science team at uber has been exploring futuristic technologies to provide better service constantly. Machine learning and data analytics help Uber make data-driven decisions that enable benefits like ride-sharing, dynamic price surges, better customer support, and demand forecasting. Here are some of the real world data science projects used by uber:

i) Dynamic Pricing for Price Surges and Demand Forecasting

Uber prices change at peak hours based on demand. Uber uses surge pricing to encourage more cab drivers to sign up with the company, to meet the demand from the passengers. When the prices increase, the driver and the passenger are both informed about the surge in price. Uber uses a predictive model for price surging called the 'Geosurge' ( patented). It is based on the demand for the ride and the location.

ii) One-Click Chat

Uber has developed a Machine learning and natural language processing solution called one-click chat or OCC for coordination between drivers and users. This feature anticipates responses for commonly asked questions, making it easy for the drivers to respond to customer messages. Drivers can reply with the clock of just one button. One-Click chat is developed on Uber's machine learning platform Michelangelo to perform NLP on rider chat messages and generate appropriate responses to them.

iii) Customer Retention

Failure to meet the customer demand for cabs could lead to users opting for other services. Uber uses machine learning models to bridge this demand-supply gap. By using prediction models to predict the demand in any location, uber retains its customers. Uber also uses a tier-based reward system, which segments customers into different levels based on usage. The higher level the user achieves, the better are the perks. Uber also provides personalized destination suggestions based on the history of the user and their frequently traveled destinations.

You can take a look at this Python Chatbot Project and build a simple chatbot application to understand better the techniques used for natural language processing. You can also practice the working of a demand forecasting model with this project using time series analysis. You can look at this project which uses time series forecasting and clustering on a dataset containing geospatial data for forecasting customer demand for ola rides.

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7) LinkedIn 

LinkedIn is the largest professional social networking site with nearly 800 million members in more than 200 countries worldwide. Almost 40% of the users access LinkedIn daily, clocking around 1 billion interactions per month. The data science team at LinkedIn works with this massive pool of data to generate insights to build strategies, apply algorithms and statistical inferences to optimize engineering solutions, and help the company achieve its goals. Here are some of the real world data science projects at LinkedIn:

i) LinkedIn Recruiter Implement Search Algorithms and Recommendation Systems

LinkedIn Recruiter helps recruiters build and manage a talent pool to optimize the chances of hiring candidates successfully. This sophisticated product works on search and recommendation engines. The LinkedIn recruiter handles complex queries and filters on a constantly growing large dataset. The results delivered have to be relevant and specific. The initial search model was based on linear regression but was eventually upgraded to Gradient Boosted decision trees to include non-linear correlations in the dataset. In addition to these models, the LinkedIn recruiter also uses the Generalized Linear Mix model to improve the results of prediction problems to give personalized results.

ii) Recommendation Systems Personalized for News Feed

The LinkedIn news feed is the heart and soul of the professional community. A member's newsfeed is a place to discover conversations among connections, career news, posts, suggestions, photos, and videos. Every time a member visits LinkedIn, machine learning algorithms identify the best exchanges to be displayed on the feed by sorting through posts and ranking the most relevant results on top. The algorithms help LinkedIn understand member preferences and help provide personalized news feeds. The algorithms used include logistic regression, gradient boosted decision trees and neural networks for recommendation systems.

iii) CNN's to Detect Inappropriate Content

To provide a professional space where people can trust and express themselves professionally in a safe community has been a critical goal at LinkedIn. LinkedIn has heavily invested in building solutions to detect fake accounts and abusive behavior on their platform. Any form of spam, harassment, inappropriate content is immediately flagged and taken down. These can range from profanity to advertisements for illegal services. LinkedIn uses a Convolutional neural networks based machine learning model. This classifier trains on a training dataset containing accounts labeled as either "inappropriate" or "appropriate." The inappropriate list consists of accounts having content from "blocklisted" phrases or words and a small portion of manually reviewed accounts reported by the user community.

Here is a Text Classification Project to help you understand NLP basics for text classification. You can find a news recommendation system dataset to help you build a personalized news recommender system. You can also use this dataset to build a classifier using logistic regression, Naive Bayes, or Neural networks to classify toxic comments.

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Pfizer is a multinational pharmaceutical company headquartered in New York, USA. One of the largest pharmaceutical companies globally known for developing a wide range of medicines and vaccines in disciplines like immunology, oncology, cardiology, and neurology. Pfizer became a household name in 2010 when it was the first to have a COVID-19 vaccine with FDA. In early November 2021, The CDC has approved the Pfizer vaccine for kids aged 5 to 11. Pfizer has been using machine learning and artificial intelligence to develop drugs and streamline trials, which played a massive role in developing and deploying the COVID-19 vaccine. Here are a few data analytics case studies by Pfizer :

i) Identifying Patients for Clinical Trials

Artificial intelligence and machine learning are used to streamline and optimize clinical trials to increase their efficiency. Natural language processing and exploratory data analysis of patient records can help identify suitable patients for clinical trials. These can help identify patients with distinct symptoms. These can help examine interactions of potential trial members' specific biomarkers, predict drug interactions and side effects which can help avoid complications. Pfizer's AI implementation helped rapidly identify signals within the noise of millions of data points across their 44,000-candidate COVID-19 clinical trial.

ii) Supply Chain and Manufacturing

Data science and machine learning techniques help pharmaceutical companies better forecast demand for vaccines and drugs and distribute them efficiently. Machine learning models can help identify efficient supply systems by automating and optimizing the production steps. These will help supply drugs customized to small pools of patients in specific gene pools. Pfizer uses Machine learning to predict the maintenance cost of equipment used. Predictive maintenance using AI is the next big step for Pharmaceutical companies to reduce costs.

iii) Drug Development

Computer simulations of proteins, and tests of their interactions, and yield analysis help researchers develop and test drugs more efficiently. In 2016 Watson Health and Pfizer announced a collaboration to utilize IBM Watson for Drug Discovery to help accelerate Pfizer's research in immuno-oncology, an approach to cancer treatment that uses the body's immune system to help fight cancer. Deep learning models have been used recently for bioactivity and synthesis prediction for drugs and vaccines in addition to molecular design. Deep learning has been a revolutionary technique for drug discovery as it factors everything from new applications of medications to possible toxic reactions which can save millions in drug trials.

You can create a Machine learning model to predict molecular activity to help design medicine using this dataset . You may build a CNN or a Deep neural network for this data analyst case study project.

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9) Shell Data Analyst Case Study Project

Shell is a global group of energy and petrochemical companies with over 80,000 employees in around 70 countries. Shell uses advanced technologies and innovations to help build a sustainable energy future. Shell is going through a significant transition as the world needs more and cleaner energy solutions to be a clean energy company by 2050. It requires substantial changes in the way in which energy is used. Digital technologies, including AI and Machine Learning, play an essential role in this transformation. These include efficient exploration and energy production, more reliable manufacturing, more nimble trading, and a personalized customer experience. Using AI in various phases of the organization will help achieve this goal and stay competitive in the market. Here are a few data analytics case studies in the petrochemical industry:

i) Precision Drilling

Shell is involved in the processing mining oil and gas supply, ranging from mining hydrocarbons to refining the fuel to retailing them to customers. Recently Shell has included reinforcement learning to control the drilling equipment used in mining. Reinforcement learning works on a reward-based system based on the outcome of the AI model. The algorithm is designed to guide the drills as they move through the surface, based on the historical data from drilling records. It includes information such as the size of drill bits, temperatures, pressures, and knowledge of the seismic activity. This model helps the human operator understand the environment better, leading to better and faster results will minor damage to machinery used. 

ii) Efficient Charging Terminals

Due to climate changes, governments have encouraged people to switch to electric vehicles to reduce carbon dioxide emissions. However, the lack of public charging terminals has deterred people from switching to electric cars. Shell uses AI to monitor and predict the demand for terminals to provide efficient supply. Multiple vehicles charging from a single terminal may create a considerable grid load, and predictions on demand can help make this process more efficient.

iii) Monitoring Service and Charging Stations

Another Shell initiative trialed in Thailand and Singapore is the use of computer vision cameras, which can think and understand to watch out for potentially hazardous activities like lighting cigarettes in the vicinity of the pumps while refueling. The model is built to process the content of the captured images and label and classify it. The algorithm can then alert the staff and hence reduce the risk of fires. You can further train the model to detect rash driving or thefts in the future.

Here is a project to help you understand multiclass image classification. You can use the Hourly Energy Consumption Dataset to build an energy consumption prediction model. You can use time series with XGBoost to develop your model.

10) Zomato Case Study on Data Analytics

Zomato was founded in 2010 and is currently one of the most well-known food tech companies. Zomato offers services like restaurant discovery, home delivery, online table reservation, online payments for dining, etc. Zomato partners with restaurants to provide tools to acquire more customers while also providing delivery services and easy procurement of ingredients and kitchen supplies. Currently, Zomato has over 2 lakh restaurant partners and around 1 lakh delivery partners. Zomato has closed over ten crore delivery orders as of date. Zomato uses ML and AI to boost their business growth, with the massive amount of data collected over the years from food orders and user consumption patterns. Here are a few examples of data analyst case study project developed by the data scientists at Zomato:

i) Personalized Recommendation System for Homepage

Zomato uses data analytics to create personalized homepages for its users. Zomato uses data science to provide order personalization, like giving recommendations to the customers for specific cuisines, locations, prices, brands, etc. Restaurant recommendations are made based on a customer's past purchases, browsing history, and what other similar customers in the vicinity are ordering. This personalized recommendation system has led to a 15% improvement in order conversions and click-through rates for Zomato. 

You can use the Restaurant Recommendation Dataset to build a restaurant recommendation system to predict what restaurants customers are most likely to order from, given the customer location, restaurant information, and customer order history.

ii) Analyzing Customer Sentiment

Zomato uses Natural language processing and Machine learning to understand customer sentiments using social media posts and customer reviews. These help the company gauge the inclination of its customer base towards the brand. Deep learning models analyze the sentiments of various brand mentions on social networking sites like Twitter, Instagram, Linked In, and Facebook. These analytics give insights to the company, which helps build the brand and understand the target audience.

iii) Predicting Food Preparation Time (FPT)

Food delivery time is an essential variable in the estimated delivery time of the order placed by the customer using Zomato. The food preparation time depends on numerous factors like the number of dishes ordered, time of the day, footfall in the restaurant, day of the week, etc. Accurate prediction of the food preparation time can help make a better prediction of the Estimated delivery time, which will help delivery partners less likely to breach it. Zomato uses a Bidirectional LSTM-based deep learning model that considers all these features and provides food preparation time for each order in real-time. 

Data scientists are companies' secret weapons when analyzing customer sentiments and behavior and leveraging it to drive conversion, loyalty, and profits. These 10 data science case studies projects with examples and solutions show you how various organizations use data science technologies to succeed and be at the top of their field! To summarize, Data Science has not only accelerated the performance of companies but has also made it possible to manage & sustain their performance with ease.

FAQs on Data Analysis Case Studies

A case study in data science is an in-depth analysis of a real-world problem using data-driven approaches. It involves collecting, cleaning, and analyzing data to extract insights and solve challenges, offering practical insights into how data science techniques can address complex issues across various industries.

To create a data science case study, identify a relevant problem, define objectives, and gather suitable data. Clean and preprocess data, perform exploratory data analysis, and apply appropriate algorithms for analysis. Summarize findings, visualize results, and provide actionable recommendations, showcasing the problem-solving potential of data science techniques.

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Data Analytics Case Study: Complete Guide in 2024

What are data analytics case study interviews.

When you’re trying to land a data analyst job, the last thing to stand in your way is the data analytics case study interview.

One reason they’re so challenging is that case studies don’t typically have a right or wrong answer.

Instead, case study interviews require you to come up with a hypothesis for an analytics question and then produce data to support or validate your hypothesis. In other words, it’s not just about your technical skills; you’re also being tested on creative problem-solving and your ability to communicate with stakeholders.

This article provides an overview of how to answer data analytics case study interview questions. You can find an in-depth course in the data analytics learning path .

How to Solve Data Analytics Case Questions

Check out our video below on How to solve a Data Analytics case study problem:

With data analyst case questions, you will need to answer two key questions:

• What metrics should I propose?
• How do I write a SQL query to get the metrics I need?

In short, to ace a data analytics case interview, you not only need to brush up on case questions, but you also should be adept at writing all types of SQL queries and have strong data sense.

These questions are especially challenging to answer if you don’t have a framework or know how to answer them. To help you prepare , we created this step-by-step guide to answering data analytics case questions.

We show you how to use a framework to answer case questions, provide example analytics questions, and help you understand the difference between analytics case studies and product metrics case studies .

Data Analytics Cases vs Product Metrics Questions

Product case questions sometimes get lumped in with data analytics cases.

Ultimately, the type of case question you are asked will depend on the role. For example, product analysts will likely face more product-oriented questions.

Product metrics cases tend to focus on a hypothetical situation. You might be asked to:

Investigate Metrics - One of the most common types will ask you to investigate a metric, usually one that’s going up or down. For example, “Why are Facebook friend requests falling by 10 percent?”

Measure Product/Feature Success - A lot of analytics cases revolve around the measurement of product success and feature changes. For example, “We want to add X feature to product Y. What metrics would you track to make sure that’s a good idea?”

With product data cases, the key difference is that you may or may not be required to write the SQL query to find the metric.

Instead, these interviews are more theoretical and are designed to assess your product sense and ability to think about analytics problems from a product perspective. Product metrics questions may also show up in the data analyst interview , but likely only for product data analyst roles.

TRY CHECKING: Marketing Analytics Case Study Guide

Data Analytics Case Study Question: Sample Solution

Let’s start with an example data analytics case question :

You’re given a table that represents search results from searches on Facebook. The query column is the search term, the position column represents each position the search result came in, and the rating column represents the human rating from 1 to 5, where 5 is high relevance, and 1 is low relevance.

Each row in the search_events table represents a single search, with the has_clicked column representing if a user clicked on a result or not. We have a hypothesis that the CTR is dependent on the search result rating.

Write a query to return data to support or disprove this hypothesis.

search_results table:

search_events table

Step 1: With Data Analytics Case Studies, Start by Making Assumptions

Hint: Start by making assumptions and thinking out loud. With this question, focus on coming up with a metric to support the hypothesis. If the question is unclear or if you think you need more information, be sure to ask.

Answer. The hypothesis is that CTR is dependent on search result rating. Therefore, we want to focus on the CTR metric, and we can assume:

• If CTR is high when search result ratings are high, and CTR is low when the search result ratings are low, then the hypothesis is correct.
• If CTR is low when the search ratings are high, or there is no proven correlation between the two, then our hypothesis is not proven.

Step 2: Provide a Solution for the Case Question

Hint: Walk the interviewer through your reasoning. Talking about the decisions you make and why you’re making them shows off your problem-solving approach.

Answer. One way we can investigate the hypothesis is to look at the results split into different search rating buckets. For example, if we measure the CTR for results rated at 1, then those rated at 2, and so on, we can identify if an increase in rating is correlated with an increase in CTR.

First, I’d write a query to get the number of results for each query in each bucket. We want to look at the distribution of results that are less than a rating threshold, which will help us see the relationship between search rating and CTR.

This CTE aggregates the number of results that are less than a certain rating threshold. Later, we can use this to see the percentage that are in each bucket. If we re-join to the search_events table, we can calculate the CTR by then grouping by each bucket.

Step 3: Use Analysis to Backup Your Solution

Hint: Be prepared to justify your solution. Interviewers will follow up with questions about your reasoning, and ask why you make certain assumptions.

Answer. By using the CASE WHEN statement, I calculated each ratings bucket by checking to see if all the search results were less than 1, 2, or 3 by subtracting the total from the number within the bucket and seeing if it equates to 0.

I did that to get away from averages in our bucketing system. Outliers would make it more difficult to measure the effect of bad ratings. For example, if a query had a 1 rating and another had a 5 rating, that would equate to an average of 3. Whereas in my solution, a query with all of the results under 1, 2, or 3 lets us know that it actually has bad ratings.

Product Data Case Question: Sample Solution

In product metrics interviews, you’ll likely be asked about analytics, but the discussion will be more theoretical. You’ll propose a solution to a problem, and supply the metrics you’ll use to investigate or solve it. You may or may not be required to write a SQL query to get those metrics.

We’ll start with an example product metrics case study question :

Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.

The company has been consistently growing new users in the city from January to March.

What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?

Step 1: Ask Clarifying Questions Specific to the Case

Hint: This question is very vague. It’s all hypothetical, so we don’t know very much about users, what the product is, and how people might be interacting. Be sure you ask questions upfront about the product.

Answer: Before I jump into an answer, I’d like to ask a few questions:

• Who uses this social network? How do they interact with each other?
• Has there been any performance issues that might be causing the problem?
• What are the goals of this particular launch?
• Has there been any changes to the comment features in recent weeks?

For the sake of this example, let’s say we learn that it’s a social network similar to Facebook with a young audience, and the goals of the launch are to grow the user base. Also, there have been no performance issues and the commenting feature hasn’t been changed since launch.

Step 2: Use the Case Question to Make Assumptions

Hint: Look for clues in the question. For example, this case gives you a metric, “average number of comments per user.” Consider if the clue might be helpful in your solution. But be careful, sometimes questions are designed to throw you off track.

Answer: From the question, we can hypothesize a little bit. For example, we know that user count is increasing linearly. That means two things:

• The decreasing comments issue isn’t a result of a declining user base.
• The cause isn’t loss of platform.

We can also model out the data to help us get a better picture of the average number of comments per user metric:

• January: 10000 users, 30000 comments, 3 comments/user
• February: 20000 users, 50000 comments, 2.5 comments/user
• March: 30000 users, 60000 comments, 2 comments/user

One thing to note: Although this is an interesting metric, I’m not sure if it will help us solve this question. For one, average comments per user doesn’t account for churn. We might assume that during the three-month period users are churning off the platform. Let’s say the churn rate is 25% in January, 20% in February and 15% in March.

Step 3: Make a Hypothesis About the Data

Hint: Don’t worry too much about making a correct hypothesis. Instead, interviewers want to get a sense of your product initiation and that you’re on the right track. Also, be prepared to measure your hypothesis.

Answer. I would say that average comments per user isn’t a great metric to use, because it doesn’t reveal insights into what’s really causing this issue.

That’s because it doesn’t account for active users, which are the users who are actually commenting. A better metric to investigate would be retained users and monthly active users.

What I suspect is causing the issue is that active users are commenting frequently and are responsible for the increase in comments month-to-month. New users, on the other hand, aren’t as engaged and aren’t commenting as often.

Step 4: Provide Metrics and Data Analysis

Hint: Within your solution, include key metrics that you’d like to investigate that will help you measure success.

Answer: I’d say there are a few ways we could investigate the cause of this problem, but the one I’d be most interested in would be the engagement of monthly active users.

If the growth in comments is coming from active users, that would help us understand how we’re doing at retaining users. Plus, it will also show if new users are less engaged and commenting less frequently.

One way that we could dig into this would be to segment users by their onboarding date, which would help us to visualize engagement and see how engaged some of our longest-retained users are.

If engagement of new users is the issue, that will give us some options in terms of strategies for addressing the problem. For example, we could test new onboarding or commenting features designed to generate engagement.

Step 5: Propose a Solution for the Case Question

Hint: In the majority of cases, your initial assumptions might be incorrect, or the interviewer might throw you a curveball. Be prepared to make new hypotheses or discuss the pitfalls of your analysis.

Answer. If the cause wasn’t due to a lack of engagement among new users, then I’d want to investigate active users. One potential cause would be active users commenting less. In that case, we’d know that our earliest users were churning out, and that engagement among new users was potentially growing.

Again, I think we’d want to focus on user engagement since the onboarding date. That would help us understand if we were seeing higher levels of churn among active users, and we could start to identify some solutions there.

Tip: Use a Framework to Solve Data Analytics Case Questions

Analytics case questions can be challenging, but they’re much more challenging if you don’t use a framework. Without a framework, it’s easier to get lost in your answer, to get stuck, and really lose the confidence of your interviewer. Find helpful frameworks for data analytics questions in our data analytics learning path and our product metrics learning path .

Once you have the framework down, what’s the best way to practice? Mock interviews with our coaches are very effective, as you’ll get feedback and helpful tips as you answer. You can also learn a lot by practicing P2P mock interviews with other Interview Query students. No data analytics background? Check out how to become a data analyst without a degree .

Finally, if you’re looking for sample data analytics case questions and other types of interview questions, see our guide on the top data analyst interview questions .

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15 Best Case Study Templates to Use in Word and ClickUp

Praburam Srinivasan

Growth Marketing Manager

February 14, 2024

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Case studies are valuable tools for sharing customer success stories and analyzing problem-solving approaches in a structured and informative manner. They can be used to provide detailed insights into specific projects, strategies, or challenges and offer valuable lessons and best practices for professionals across various fields. 

Content marketing teams often create case studies as a way to gain more customers and get new business. Case studies can give potential customers a better understanding of your company brand , what it does and how you could potentially help them. 

However, creating a compelling case study from scratch can be a time-consuming task. That’s where marketing case study examples and templates can help. 

What is a Case Study Template?

What makes a good case study template, 1. clickup case study template, 2. clickup case study design template, 3. clickup research report template, 4. clickup market research template, 5. clickup user research plan template, 6. clickup data analysis findings template, 7. clickup campaign report template, 8. clickup research whiteboard, 9. google docs case study template by wordstream, 10. word case study report template by template.net, 11. word case brief summary template by template.net, 12. word case study report template by template.net, 13. word case study research template by template.net, 14. word psychology case study template by template.net, 15. word media case study template by template.net.

A case study template is a pre-designed framework that serves as a starting point for creating comprehensive and structured case study documents. It provides a standardized, traditional case study format for organizing and presenting information about a particular project, problem-solving scenario, success story, or real-life situation.

Case study templates typically include sections for outlining the background and context of the case study, project documentation , describing the methodology or approach used, presenting data and analysis, and highlighting key findings and recommendations that tell the entire story. 

Business case study examples like templates can work as a guide to help content marketers, blog post writers, and anyone else creating quality content that’s customer-facing, focus on important aspects and maintain a logical flow while telling a compelling story.

Some key elements that make a case study template stand out include:

• Clarity and organization: A well-designed template should be easy to navigate. Each section should be labeled appropriately, enabling readers to quickly find the information they seek
• Flexibility: A good case study template should be easily customizable and able to accommodate diverse scenarios. It should be adaptable to different industries, research methodologies, and presentation styles
• Visual appeal: Incorporating visual elements like charts, graphs, and other images can enhance a case study template’s look and make it more visually appealing. They can also aid in the comprehension of complex data. A visually engaging template can captivate readers and make the case study more impactful

15 Case Study Templates to Use in 2024

You don’t have to start from scratch when making your next case study. Instead, take a look at these carefully curated case study templates from ClickUp and Microsoft Word.

ClickUp’s Case Study Template can provide a great start for just about any type of case study you and your team want to write. It kicks off with a section for introducing both your business and the client or customer that the case study focuses on. 

After introducing both yourself and the customer, you briefly highlight the customer’s experience and the successes you achieved before delivering a more detailed description of the work you performed and the measurable results you achieved. 

The next section focuses on the objective of the case study—what the client’s goal and pain point was and why they decided you were the right company to help them achieve these goals. 

The case study template then launches into a section describing the solutions you presented and the data that backs up your success. We created this marketing case study template for a marketing agency that helps customers achieve growth through paid media campaigns, but it can easily be edited to highlight any type of solution.

One of the best ways of telling a customer story using a case study is by allowing the customer to do most of the work themselves. When a case study is written by current or even previous customers, it feels more sincere and honest, especially to potential customers in the evaluation process. 

If you want to try this technique out, use this ClickUp Study Design Template . You can send your customer this great case study template and allow them to fill it out themselves and basically write a case study for you. This gives you unfiltered and unbiased answers to the questions you want answered in the case study. 

The case study template helps them understand what you want the case study to look like and how the customer’s story should be described. It also helps you get great customer quotes. 

A template makes it easier for your customer to frame their experiences with you and easily explain how your product or service helped them. Hearing a peer’s success story from a firsthand perspective can be a more convincing read for prospective customers. 

Manage customers with customer database software !

Case studies are essentially customer stories, which can be told in many ways and come in many formats. A research report is another excellent way to frame a case study. 

This ClickUp Research Report Template is a step-by-step guide that can help your team create an easy-to-follow research report that allows you to clearly detail your research methods, findings, and the insights that you’ve gained from the research being presented. 

This template has a very clear structure, allowing you to simply add the following: an executive summary (brief description), introduction, the methodology used, your results, references, and any necessary appendices if supplementary material needs to be referenced in your research report. 

If you need more templates like this, check out this list of research plan templates .

Companies perform market research in order to define what their customers want and need from them. This type of research also helps you to improve product and service offers and learn more about what your competitors are doing and where the success of other businesses stems from. 

ClickUp’s Market Research Template gives you a simple-to-follow document that helps you gather and present information related to your target audience, the state of your product/service, and the state of your industry at large. 

When you perform marketing research, you are aiming to confirm your hunches about customer needs through scientific research and tangible data. 

Marketing case study examples like this are perfect because they’re very simplified and easily customizable. It offers you a section for presenting your company and why you are performing marketing research first.

The template then guides you in describing the type of research you’re doing, how you went about performing market research, data collection techniques, and what insights were garnered—whether it was from existing or potential customers.

Check out these research management tools !

Another type of customer-centric report that you can put together is a user research report. ClickUp’s User Research Plan Template makes it easy for you to define all of the goals and details that you want included in your user research.

The template is particularly useful for user experience (UX) teams that want to perform user persona research in order to better understand what users need and how they behave when using their product, in order to deliver a better experience to them and to new clients. 

The template starts with a “ problem statement ” where you can define the problem that the user research report is aiming to solve. Next, you’ll list the goals that you want to achieve and then clearly define the research process.

This type of marketing case study template and report can show you what a satisfied customer looks like and give you insights that help to attract and retain future customers.

Check out these user persona templates !

Another important study that your business can perform in order to make smarter decisions is data analysis. ClickUp’s Data Analysis Findings template makes it easy for your team to perform data analysis and present it clearly to key stakeholders. 

This template also starts by setting the stage for the study and explaining it, first with a problem statement and then by explaining the significance of the study. 

Next, the template recommends that you define the scope and limitations of the study to set expectations for its potential impact. The next step is to frame your analysis methods and provide the data sources that you used in the analysis, as well as the statistical methods used.

Finally, you can present your findings in a clear and concise way. The template also includes charts and other data visualization tools you can use to make the study more engaging.

This ClickUp Campaign Report template is pre-built to make it incredibly easy to present the results of any ad campaign to stakeholders very easily. 

It starts with a section describing your strategy in detail, including the total costs, and the total revenue, conversions, and clicks that you expect to achieve with the campaign. 

The marketing case study template then provides charts and graphs that you can use to detail the performance of your campaigns on every single channel that you use. Case study templates like this are great for detailing information on potential customers to know how to better run your campaigns in the future.

Make your next user research project a collaborative, visual experience. Give everyone on your team a chance to add their thoughts and findings with virtual sticky notes using the ClickUp Research Whiteboard Template .

This is one of the more flexible case study templates in this list. Its user research tool makes it easy to take all the random bits of information your team gathers through interviews, surveys, user sessions, and other methods of feedback into one location.

Then, you can quickly organize all of that data into clear categories that make this case study template easy to see at a glance what direction you need to take your project to satisfy your customers.

If you’re writing many case studies, it’s a good idea to try out a bunch of templates over time for added inspiration. Even if you’ve found one structure works great for your case studies, changing your structure up every now and then can give you a fresh perspective on how to present a featured client. 

Another good case study you can check out is Wordstream’s Case Study Template. It has an excellent structure and provides pre-built visual cues that give you some ideas for breaking up business case study examples and making them more appealing with pictures and charts. 

Use this template to showcase particular customers’ results and share customer pain points and how they were solved. This will help you provide clear evidence to potential customers that you will be able to help them as well.

Template.net is one of the biggest websites if you’re looking for business templates. It’s especially popular for businesses that prefer creating documents in Microsoft Word and Excel.

This Case Study Template from Template.net is sparse, but it gets right to the point and is very well-structured and easy to follow.

This Microsoft Word case study template is a great way to get right down to business! It features a clean and organized layout with clear headings and subheadings, making it easy for readers to navigate. This template also includes space for a brief summary of the case study, perfect for giving readers an overview before diving into the details.

This Microsoft Word case study template is a great option for creating an in-depth report on your findings. The template includes sections for an executive summary, introduction, methodology, results, references, and appendices. It also features a clear structure to make it easy to gather and present information in a cohesive manner. The template also includes sections for an introduction, methodology, findings, and recommendations, ensuring that all the essential elements of a case study are covered.

This Word case study template features a professional and organized design with clearly labeled sections for the introduction, methodology, findings, and conclusion. It also includes space for charts and graphs to visually represent data.

Psychology case studies can be complex and detailed, making it important to have a well-organized template to present the information. The Psychology Case Study Template is perfect for this task, with clear headings and subheadings that guide readers through each section of the study. It also includes sections for summarizing key points and providing recommendations based on the findings.

This media case study template from Template.net is perfect for showcasing the success of a marketing or advertising campaign! It includes space for key metrics, such as reach and engagement, and also has sections for outlining the challenges faced and solutions implemented. With its clean design and easy-to-follow layout, this template is ideal for presenting media case studies to clients or stakeholders.

It’s Easy to Make a Case for Using ClickUp Case Study Templates

People trust other people. That’s why personal recommendations are one of the most effective marketing tactics. A case study provides your company with just that—a personal recommendation from a client you’ve helping, telling others that you can do the same for them. 

In the selection process of choosing a product or service to go with, companies will always look at the experiences of other organizations similar to them. Marketing case studies are sincere yet persuasive and clearly show how you help others and can be a very effective differentiator.

ClickUp was designed to serve teams in any industry and of any size. So it makes sense the case study templates we offer are just as diverse and customizable.

Best of all, they are completely free to use!  Sign up for free to ClickUp to get immediate access to a massive amount of templates, free cloud storage, and of course, industry-leading project and team management features.

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What Is a Case Study? How to Write, Examples, and Template

In this post

How to write a case study

Case study template, case study examples, types of case studies, what are the benefits of case studies , what are the limitations of case studies , case study vs. testimonial.

In today's marketplace, conveying your product's value through a compelling narrative is crucial to genuinely connecting with your customers.

Your business can use marketing analytics tools to understand what customers want to know about your product. Once you have this information, the next step is to showcase your product and its benefits to your target audience. This strategy involves a mix of data, analysis, and storytelling. Combining these elements allows you to create a narrative that engages your audience. So, how can you do this effectively?

What is a case study? 

A case study is a powerful tool for showcasing a business's success in helping clients achieve their goals. It's a form of storytelling that details real-world scenarios where a business implemented its solutions to deliver positive results for a client.

In this article, we explore the concept of a case study , including its writing process, benefits, various types, challenges, and more.

Understanding how to write a case study is an invaluable skill. You'll need to embrace decision-making – from deciding which customers to feature to designing the best format to make them as engaging as possible.  This can feel overwhelming in a hurry, so let's break it down.

Step 1: Reach out to the target persona

If you've been in business for a while, you have no shortage of happy customers. But w ith limited time and resources, you can't choose everyone.  So, take some time beforehand to flesh out your target buyer personas. 

Once you know precisely who you're targeting, go through your stable of happy customers to find a buyer representative of the audience you're trying to reach. The closer their problems, goals, and industries align, the more your case study will resonate.

What if you have more than one buyer persona? No problem. This is a common situation for companies because buyers comprise an entire committee. You might be marketing to procurement experts, executives, engineers, etc. Try to develop a case study tailored to each key persona. This might be a long-term goal, and that's fine. The better you can personalize the experience for each stakeholder, the easier it is to keep their attention.  

Here are a few considerations to think about before research:

• Products/services of yours the customer uses (and how familiar they are with them)
• The customer's brand recognition in the industry
• Whether the results they've achieved are specific and remarkable
• Whether they've switched from a competitor's product/service
• How closely aligned they are with your target audience

These items are just a jumping-off point as you develop your criteria.  Once you have a list, run each customer through it to determine your top targets. Approach the ones on the top (your "dream" case study subjects) and work your way down as needed.

Who to interview

You should consider interviewing top-level managers or executives because those are high-profile positions. But consider how close they are to your product and its results.

Focusing on an office manager or engineer who uses your product daily would be better. Look for someone with a courtside view of the effects.

The ways to request customer participation in case studies can vary, but certain principles can improve your chances:

• Make it easy for customers to work with you, respecting their valuable time. Be well-prepared and minimize their involvement.
• Emphasize how customers will benefit through increased publicity, revenue opportunities, or recognition for their success. 
• Acknowledge their contributions and showcase their achievements.
• Standardizing the request process with a script incorporating these principles can help your team consistently secure case study approvals and track performance.

Step 2: Prepare for the interview

Case study interviews are like school exams. The more prepared you are for them, the better they turn out. Preparing thoroughly also shows participants that you value their time. You don't waste precious minutes rehashing things you should have already known. You focus on getting the information you need as efficiently as possible.

You can conduct your case study interview in multiple formats, from exchanging emails to in-person interviews. This isn't a trivial decision.  As you'll see in the chart below, each format has its unique advantages and disadvantages. 

You'll also have to consider who will ask and answer the questions during your case study interview. It's wise to consider this while considering the case study format.  The number of participants factors into which format will work best. Pulling off an in-person interview becomes much harder if you're trying to juggle four or five people's busy schedules. Try a video conference instead.

Before interviewing your case study participant, it is crucial to identify the specific questions that need to be asked.  It's essential to thoroughly evaluate your collaboration with the client and understand how your product's contributions impact the company. 

Remember that structuring your case study is akin to crafting a compelling narrative. To achieve this, follow a structured approach:

• Beginning of your story. Delve into the customer's challenge that ultimately led them to do business with you. What were their problems like? What drove them to make a decision finally? Why did they choose you?
• The middle of the case study.  Your audience also wants to know about the experience of working with you. Your customer has taken action to address their problems. What happened once you got on board?
• An ending that makes you the hero.  Describe the specific results your company produced for the customer. How has the customer's business (and life) changed once they implemented your solution?

Sample questions for the case study interview

If you're preparing for a case study interview, here are some sample case study research questions to help you get started:

• What challenges led you to seek a solution?
• When did you realize the need for immediate action? Was there a tipping point?
• How did you decide on the criteria for choosing a B2B solution, and who was involved?
• What set our product or service apart from others you considered?
• How was your experience working with us post-purchase?
• Were there any pleasant surprises or exceeded expectations during our collaboration?
• How smoothly did your team integrate our solution into their workflows?
• How long before you started seeing positive results?
• How have you benefited from our products or services?
• How do you measure the value our product or service provides?

Step 3: Conduct the interview

Preparing for case study interviews can be different from everyday conversations. Here are some tips to keep in mind:

• Create a comfortable atmosphere.  Before diving into the discussion, talk about their business and personal interests. Ensure everyone is at ease, and address any questions or concerns.
• Prioritize key questions.  Lead with your most crucial questions to respect your customer's time. Interview lengths can vary, so starting with the essentials ensures you get the vital information.
• Be flexible.  Case study interviews don't have to be rigid. If your interviewee goes "off script," embrace it. Their spontaneous responses often provide valuable insights.
• Record the interview.  If not conducted via email, ask for permission to record the interview. This lets you focus on the conversation and capture valuable quotes without distractions.

Step 4: Figure out who will create the case study

When creating written case studies for your business, deciding who should handle the writing depends on cost, perspective, and revisions.

Outsourcing might be pricier, but it ensures a professionally crafted outcome. On the other hand, in-house writing has its considerations, including understanding your customers and products. 

Technical expertise and equipment are needed for video case studies, which often leads companies to consider outsourcing due to production and editing costs. 

Tip: When outsourcing work, it's essential to clearly understand pricing details to avoid surprises and unexpected charges during payment.

Step 5: Utilize storytelling

Understanding and applying storytelling elements can make your case studies unforgettable, offering a competitive edge. 

Source: The Framework Bank

Every great study follows a narrative arc (also called a "story arc"). This arc represents how a character faces challenges, struggles against raising stakes, and encounters a formidable obstacle before the tension resolves.

In a case study narrative, consider:

• Exposition. Provide background information about the company, revealing their "old life" before becoming your customer.
• Inciting incident. Highlight the problem that drove the customer to seek a solution, creating a sense of urgency.
• Obstacles (rising action). Describe the customer's journey in researching and evaluating solutions, building tension as they explore options.
• Midpoint. Explain what made the business choose your product or service and what set you apart.
• Climax. Showcase the success achieved with your product.
• Denouement. Describe the customer's transformed business and end with a call-to-action for the reader to take the next step.

Step 6: Design the case study

The adage "Don't judge a book by its cover" is familiar, but people tend to do just that quite often!

A poor layout can deter readers even if you have an outstanding case study. To create an engaging case study, follow these steps:

• Craft a compelling title. Just like you wouldn't read a newspaper article without an eye-catching headline, the same goes for case studies. Start with a title that grabs attention.
• Organize your content. Break down your content into different sections, such as challenges, results, etc. Each section can also include subsections. This case study approach divides the content into manageable portions, preventing readers from feeling overwhelmed by lengthy blocks of text.
• Conciseness is key. Keep your case study as concise as possible. The most compelling case studies are precisely long enough to introduce the customer's challenge, experience with your solution, and outstanding results. Prioritize clarity and omit any sections that may detract from the main storyline.
• Utilize visual elements. To break up text and maintain reader interest, incorporate visual elements like callout boxes, bulleted lists, and sidebars.
• Include charts and images. Summarize results and simplify complex topics by including pictures and charts. Visual aids enhance the overall appeal of your case study.
• Embrace white space. Avoid overwhelming walls of text to prevent reader fatigue. Opt for plenty of white space, use shorter paragraphs, and employ subsections to ensure easy readability and navigation.
• Enhance video case studies. In video case studies, elements like music, fonts, and color grading are pivotal in setting the right tone. Choose music that complements your message and use it strategically throughout your story. Carefully select fonts to convey the desired style, and consider how lighting and color grading can influence the mood. These elements collectively help create the desired tone for your video case study.

Step 7: Edits and revisions

Once you've finished the interview and created your case study, the hardest part is over. Now's the time for editing and revision. This might feel frustrating for impatient B2B marketers, but it can turn good stories into great ones.

Ideally, you'll want to submit your case study through two different rounds of editing and revisions:

• Internal review. Seek feedback from various team members to ensure your case study is captivating and error-free. Gather perspectives from marketing, sales, and those in close contact with customers for well-rounded insights. Use patterns from this feedback to guide revisions and apply lessons to future case studies.
• Customer feedback. Share the case study with customers to make them feel valued and ensure accuracy. Let them review quotes and data points, as they are the "heroes" of the story, and their logos will be prominently featured. This step maintains positive customer relationships.

Case study mistakes to avoid

• Ensure easy access to case studies on your website.
• Spotlight the customer, not just your business.
• Tailor each case study to a specific audience.
• Avoid excessive industry jargon in your content.

Step 8: Publishing

Take a moment to proofread your case study one more time carefully. Even if you're reasonably confident you've caught all the errors, it's always a good idea to check. Your case study will be a valuable marketing tool for years, so it's worth the investment to ensure it's flawless. Once done, your case study is all set to go!

Consider sharing a copy of the completed case study with your customer as a thoughtful gesture. They'll likely appreciate it; some may want to keep it for their records. After all, your case study wouldn't have been possible without their help, and they deserve to see the final product.

Where you publish your case study depends on its role in your overall marketing strategy. If you want to reach as many people as possible with your case study, consider publishing it on your website and social media platforms. 

Tip: Some companies prefer to keep their case studies exclusive, making them available only to those who request them. This approach is often taken to control access to valuable information and to engage more deeply with potential customers who express specific interests. It can create a sense of exclusivity and encourage interested parties to engage directly with the company.

Step 9: Case study distribution

When sharing individual case studies, concentrate on reaching the audience with the most influence on purchasing decisions

Here are some common distribution channels to consider:

• Sales teams. Share case studies to enhance customer interactions, retention , and upselling among your sales and customer success teams. Keep them updated on new studies and offer easily accessible formats like PDFs or landing page links.
• Company website. Feature case studies on your website to establish authority and provide valuable information to potential buyers. Organize them by categories such as location, size, industry, challenges, and products or services used for effective presentation.
• Events. Use live events like conferences and webinars to distribute printed case study copies, showcase video case studies at trade show booths, and conclude webinars with links to your case study library. This creative approach blends personal interactions with compelling content.
• Industry journalists. Engage relevant industry journalists to gain media coverage by identifying suitable publications and journalists covering related topics. Building relationships is vital, and platforms like HARO (Help A Reporter Out) can facilitate connections, especially if your competitors have received coverage before.

Want to learn more about Marketing Analytics Software? Explore Marketing Analytics products.

It can seem daunting to transform the information you've gathered into a cohesive narrative.  We’ve created a versatile case study template that can serve as a solid starting point for your case study.

With this template, your business can explore any solutions offered to satisfied customers, covering their background, the factors that led them to choose your services, and their outcomes.

The template boasts a straightforward design, featuring distinct sections that guide you in effectively narrating your and your customer's story. However, remember that limitless ways to showcase your business's accomplishments exist.

To assist you in this process, here's a breakdown of the recommended sections to include in a case study:

• Title.  Keep it concise. Create a brief yet engaging project title summarizing your work with your subject. Consider your title like a newspaper headline; do it well, and readers will want to learn more. 
• Subtitle . Use this section to elaborate on the achievement briefly. Make it creative and catchy to engage your audience.
• Executive summary.  Use this as an overview of the story, followed by 2-3 bullet points highlighting key success metrics.
• Challenges and objectives. This section describes the customer's challenges before adopting your product or service, along with the goals or objectives they sought to achieve.
• How product/service helped.  A paragraph explaining how your product or service addressed their problem.
• Testimonials.  Incorporate short quotes or statements from the individuals involved in the case study, sharing their perspectives and experiences.
• Supporting visuals.  Include one or two impactful visuals, such as graphs, infographics, or highlighted metrics, that reinforce the narrative.
• Call to action (CTA).  If you do your job well, your audience will read (or watch) your case studies from beginning to end. They are interested in everything you've said. Now, what's the next step they should take to continue their relationship with you? Give people a simple action they can complete. 

Case studies are proven marketing strategies in a wide variety of B2B industries. Here are just a few examples of a case study:

• Amazon Web Services, Inc.  provides companies with cloud computing platforms and APIs on a metered, pay-as-you-go basis. This case study example illustrates the benefits Thomson Reuters experienced using AWS.
• LinkedIn Marketing Solutions combines captivating visuals with measurable results in the case study created for BlackRock. This case study illustrates how LinkedIn has contributed to the growth of BlackRock's brand awareness over the years. 
• Salesforce , a sales and marketing automation SaaS solutions provider, seamlessly integrates written and visual elements to convey its success stories with Pepe Jeans. This case study effectively demonstrates how Pepe Jeans is captivating online shoppers with immersive and context-driven e-commerce experiences through Salesforce.
• HubSpot offers a combination of sales and marketing tools. Their case study demonstrates the effectiveness of its all-in-one solutions. These typically focus on a particular client's journey and how HubSpot helped them achieve significant results.

There are two different types of case studies that businesses might utilize:

Written case studies 

Written case studies offer readers a clear visual representation of data, which helps them quickly identify and focus on the information that matters most. 

Printed versions of case studies find their place at events like trade shows, where they serve as valuable sales collateral to engage prospective clients.  Even in the digital age, many businesses provide case studies in PDF format or as web-based landing pages, improving accessibility for their audience. 

Note: Landing pages , in particular, offer the flexibility to incorporate rich multimedia content, including images, charts, and videos. This flexibility in design makes landing pages an attractive choice for presenting detailed content to the audience.

Written case study advantages

Here are several significant advantages to leveraging case studies for your company:

• Hyperlink accessibility.  Whether in PDF or landing page format, written case studies allow for embedded hyperlinks, offering prospects easy access to additional information and contact forms.
• Flexible engagement.  Unlike video case studies, which may demand in-person arrangements, written case studies can be conducted via phone or video streaming, reducing customer commitment and simplifying scheduling.
• Efficient scanning . Well-structured written case studies with a scannable format cater to time-strapped professionals. Charts and callout boxes with key statistics enhance the ease of information retrieval.
• Printable for offline use.  Written case studies can be effortlessly printed and distributed at trade shows, sales meetings, and live events. This tangible format accommodates those who prefer physical materials and provides versatility in outreach, unlike video content, which is less portable.

Written case study disadvantages

Here are some drawbacks associated with the use of case studies:

• Reduced emotional impact.  Written content lacks the emotional punch of live video testimonials, which engage more senses and emotions, making a stronger connection.
• Consider time investment.  Creating a compelling case study involves editing, proofreading, and design collaboration, with multiple revisions commonly required before publication.
• Challenges in maintaining attention.  Attention spans are short in today's ad-saturated world. Using graphics, infographics, and videos more often is more powerful to incite the right emotions in customers.

Video case studies

Video case studies are the latest marketing trend. Unlike in the past, when video production was costly, today's tools make it more accessible for users to create and edit their videos. However, specific technical requirements still apply.

Like written case studies, video case studies delve into a specific customer's challenges and how your business provides solutions. Yet, the video offers a more profound connection by showcasing the person who faced and conquered the problem.

Video case studies can boost brand exposure when shared on platforms like YouTube. For example, Slack's engaging case study video with Sandwich Video illustrates how Slack transformed its workflow and adds humor, which can be challenging in written case studies focused on factual evidence.

Source : YouTube

This video case study has garnered nearly a million views on YouTube.

Video case study advantages

Here are some of the top advantages of video case studies. While video testimonials take more time, the payoff can be worth it. 

• Humanization and authenticity.  Video case studies connect viewers with real people, adding authenticity and fostering a stronger emotional connection.
• Engaging multiple senses.  They engage both auditory and visual senses, enhancing credibility and emotional impact. Charts, statistics, and images can also be incorporated.
• Broad distribution.  Videos can be shared on websites, YouTube, social media, and more, reaching diverse audiences and boosting engagement, especially on social platforms.

Video case study disadvantages

Before fully committing to video testimonials, consider the following:

• Technical expertise and equipment.  Video production requires technical know-how and equipment, which can be costly. Skilled video editing is essential to maintain a professional image. While technology advances, producing amateurish videos may harm your brand's perception.
• Viewer convenience.  Some prospects prefer written formats due to faster reading and ease of navigation. Video typically requires sound, which can be inconvenient for viewers in specific settings. Many people may not have headphones readily available to watch your content.
• Demand on case study participants.  On-camera interviews can be time-consuming and location-dependent, making scheduling challenging for case study participants. Additionally, being on screen for a global audience may create insecurities and performance pressure.
• Comfort on camera.  Not everyone feels at ease on camera. Nervousness or a different on-screen persona can impact the effectiveness of the testimonial, and discovering this late in the process can be problematic.

Written or video case studies: Which is right for you?

Now that you know the pros and cons of each, how do you choose which is right for you?

One of the most significant factors in doing video case studies can be the technical expertise and equipment required for a high level of production quality. Whether you have the budget to do this in-house or hire a production company can be one of the major deciding factors.

Still, written or video doesn't have to be an either-or decision. Some B2B companies are using both formats. They can complement each other nicely, minimizing the downsides mentioned above and reaching your potential customers where they prefer.

Let's say you're selling IT network security. What you offer is invaluable but complicated. You could create a short (three- or four-minute) video case study to get attention and touch on the significant benefits of your services. This whets the viewer's appetite for more information, which they could find in a written case study that supplements the video.

Should you decide to test the water in video case studies, test their effectiveness among your target audience. See how well they work for your company and sales team. And, just like a written case study, you can always find ways to improve your process as you continue exploring video case studies.

Case studies offer several distinctive advantages, making them an ideal tool for businesses to market their products to customers. However, their benefits extend beyond these qualities. 

Here's an overview of all the advantages of case studies:

Valuable sales support

Case studies serve as a valuable resource for your sales endeavors. Buyers frequently require additional information before finalizing a purchase decision. These studies provide concrete evidence of your product or service's effectiveness, assisting your sales representatives in closing deals more efficiently, especially with customers with lingering uncertainties.

Validating your value

Case studies serve as evidence of your product or service's worth or value proposition , playing a role in building trust with potential customers. By showcasing successful partnerships, you make it easier for prospects to place trust in your offerings. This effect is particularly notable when the featured customer holds a reputable status.

Unique and engaging content

By working closely with your customer success teams, you can uncover various customer stories that resonate with different prospects. Case studies allow marketers to shape product features and benefits into compelling narratives. 

Each case study's distinctiveness, mirroring the uniqueness of every customer's journey, makes them a valuable source of relatable and engaging content. Storytelling possesses the unique ability to connect with audiences on an emotional level, a dimension that statistics alone often cannot achieve. 

Spotlighting valuable customers

Case studies provide a valuable platform for showcasing your esteemed customers. Featuring them in these studies offers a chance to give them visibility and express your gratitude for the partnership, which can enhance customer loyalty . Depending on the company you are writing about, it can also demonstrate the caliber of your business.

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It's important to consider limitations when designing and interpreting the results of case studies. Here's an overview of the limitations of case studies:

Challenges in replication

Case studies often focus on specific individuals, organizations, or situations, making generalizing their findings to broader populations or contexts challenging. 

Time-intensive process

Case studies require a significant time investment. The extensive data collection process and the need for comprehensive analysis can be demanding, especially for researchers who are new to this method.

Potential for errors

Case studies can be influenced by memory and judgment, potentially leading to inaccuracies. Depending on human memory to reconstruct a case's history may result in variations and potential inconsistencies in how individuals recall past events. Additionally, bias may emerge, as individuals tend to prioritize what they consider most significant, which could limit their consideration of alternative perspectives.

Challenges in verification

Confirming results through additional research can present difficulties. This complexity arises from the need for detailed and extensive data in the initial creation of a case study. Consequently, this process requires significant effort and a substantial amount of time.

While looking at case studies, you may have noticed a quote. This type of quote is considered a testimonial, a key element of case studies.

If a customer's quote proves that your brand does what it says it will or performs as expected, you may wonder: 'Aren't customer testimonials and case studies the same thing?' Not exactly.

Testimonials are brief endorsements designed to establish trust on a broad scale. In contrast, case studies are detailed narratives that offer a comprehensive understanding of how a product or service addresses a specific problem, targeting a more focused audience. 

Crafting case studies requires more resources and a structured approach than testimonials. Your selection between the two depends on your marketing objectives and the complexity of your product or service.

Case in point!

Case studies are among a company's most effective tools. You're  well on your way to mastering them.

Today's buyers are tackling much of the case study research methodology independently. Many are understandably skeptical before making a buying decision. By connecting them with multiple case studies, you can prove you've gotten the results you say you can. There's hardly a better way to boost your credibility and persuade them to consider your solution.

Case study formats and distribution methods might change as technology evolves. However, the fundamentals that make them effective—knowing how to choose subjects, conduct interviews, and structure everything to get attention—will serve you for as long as you're in business. 

We covered a ton of concepts and resources, so go ahead and bookmark this page. You can refer to it whenever you have questions or need a refresher.

Dive into market research to uncover customer preferences and spending habits.

Kristen McCabe

Kristen’s is a former senior content marketing specialist at G2. Her global marketing experience extends from Australia to Chicago, with expertise in B2B and B2C industries. Specializing in content, conversions, and events, Kristen spends her time outside of work time acting, learning nature photography, and joining in the #instadog fun with her Pug/Jack Russell, Bella. (she/her/hers)

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Case Study Templates

49 free case study examples & templates.

A case study is a report of an event, problem or activity. A case study format usually contains a hypothetical or real situation. It would also include any intricacies you might come across in the workplace.

You can use a case study to help you see how these intricacies might affect decisions.

Table of Contents

• 1 Case Study Templates
• 2 Common types of case study templates
• 3 Case Study Examples
• 4 Benefits of using case study templates in businesses
• 5 Case Study Formats
• 6 Tips for writing a case study template
• 7.1 Decide on the type of case study you will perform
• 7.2 Reach out to potential participants for your case study
• 7.3 Prepare your questions
• 7.4 Lay out the case study

When you make a case analysis format, you would have to analyze the situation at hand. You have to apply your own thinking skills and knowledge when performing the case study.

Also, doing this will hone your reasoning skills and your ability to draw conclusions. An effective case study example should:

• Have their basis from real-life situations but you may conceal identities.
• Consist of a number of parts which would end with points for discussion.
• Include enough information the reader can use to deal with issues and problems.
• Be very believable for anyone who reads it.

A case study is a type of research methodology. It’s typically utilized in social sciences. When you do this, you’d have to study a phenomenon or issue from a real-life perspective.

Such studies are usually based on in-depth analysis of a person, a group or even an event. You perform them to investigate the underlying causes of specific principles.

Common types of case study templates

Anyone who wants to perform a collective study may use a case study format. You can create a case analysis format on your own or download a template from here.

When you use such templates, you won’t have to think about what you need to include in your document. You can focus more on the individual, group, or event that you’re studying.

You can use different types of templates you can use for your case study. These include:

• Student case study template
• Nursing case study template
• Clinical case study template
• Memorial hospital case study template
• Basic psychology case study template
• Treatment injury case study template

Create or find a template which would suit your own needs. There aren’t any strict formats for these documents. The process is more important. In fact, some people see a case study as a type of research strategy. You can use it to investigate a phenomenon and see its influence over time. When do the process, you’d need a template to input all the information from your study.

Case Study Examples

Benefits of using case study templates in businesses

Before we discuss how to write a case study, let’s go through its benefits. The document you create while conducting your study is very relevant. When decision-makers do research on a new product, they would use this document as a reference.

They can help you identify possible solutions to their problems. This is why it’s important to keep the documents along with other important files. Serving as a reference is only one of the benefits of creating and using such templates. Here are the other benefits:

• To help influence customers more effectively In businesses, customer testimonials are extremely important. You can use them to see what you need to do to keep your business going. A case study example can be a form of support from a satisfied customer given directly to the business. You can use the template to bulk up your marketing campaign. It can serve the same purpose as product reviews on online shops like Amazon. These reviews can sway the buyers in a positive way. So you can use the case study to raise awareness on how to serve your customers more effectively. This will help encourage your customers and increase sales .
• To help encourage empathy The information contained within the document may help encourage empathy in its readers. In businesses, it may help the customers see how the product will help or work for them. To make it more effective, the document should focus on the readers and not the product you’re selling. You can describe real-life issues and explain how your product helped solve them. This would make the customers see why they need your product. It may also help your customers see why they need to patronize your business over others.
• To show that you understand and care for the customers When it comes to businesses, case studies are usually focused on their products and sales. However, this isn’t advisable as customers aren’t really fooled by such strategies. Instead, your document should address questions and issues which your customers frequently encounter. When you create such a document through your study, it will show that you care about the customers. It will help them see that you put in an effort to understand them and cater to their needs.
• To strengthen the brand When you create a case study, you can use it to strengthen your brand. Since it’s typically based on real-life situations, it becomes relatable. Through this document, you can create an emotional connection with your customers. If you can execute the study and the document well, it will be very beneficial for your business . You can show the customers that you have what they need. This will help make your brand stronger and more established.
• To repurpose content Finally, you can also use the document’s content for other things. This serves as a benefit because repurposing the content will save you a lot of time and money. You can use the document as a reference to create other written works for your business. You can also use the document as a basis to create another case study in the future. Create a similar template which focuses on other types of customers. These customers are the ones who patronize your business.

Case Study Formats

Tips for writing a case study template

You can use case studies for different purposes. In social science, it can help you understand the situations and problems of other people. In education, it can help you see how certain factors affect student academics.

In businesses, it can help earn the trust of potential customers. But do you know how to write a case study?

For some people, writing a case analysis format comes easy. For some, they need to look at some case study examples before they start making their own document. You can also download a template from here if you want to make things easier for you.

Case Analysis Formats

If you want to prove something you believe in, you need to create a compelling case study template. When you’ve done so, this will have a powerfully positive impact on what you made it for. Here are some tips, steps, and guidelines to help you out:

Decide on the type of case study you will perform

First and foremost, you need to determine which type of case study you will perform. You need to plan your case study well. You don’t just pick a topic then write about it. You need to find a cause you really believe in or a problem you want to solve.

In business, you need to focus on your customers. If you want to sell your products and services, think about your customers. Here are some things you can consider when making a case study for your business:

• When you make your study, be sure you have an extensive knowledge of your products. Without this knowledge, you won’t be able to create an effective document. One which will connect with your readers or your customers.
• If you want to show the best side of your business, be smart when creating your document. Find customers who have wonderful things to say about your product. Use their testimonials in your document. Do this to encourage your readers to support your business.
• Remember that the case study can help strengthen your brand. That’s why it’s important to create a study which will really make your business stand out. Think about how you’d like to present your information.

Reach out to potential participants for your case study

Without participants, you won’t have a case study. Prepare everything you need to before reaching out to your potential participants. Ensure them that there will always be open communication throughout the process.

This means that you’d have to prepare your timeline and expectations right away. This will help avoid any delays in the process.

Before talking to participants, you should already know what you’ll ask of them. For instance, you may want to ask permission to share the information you gather publicly.

You can send a letter or an email to your participants asking them to be part of your study. In the letter, include what you expect from them and what they can expect from you.

This will give them a good idea of what they need to do and prepare. Your introductory letter should contain:

• A clear and concise explanation of your purpose for creating the case study. Also, indicate how you will use the information you collect.
• A statement which would define the information which you’re planning to include. This is especially important if you will add trademarked information about a company.
• A clear explanation of your expectations from the participants. If you have any expectations which extend beyond your case study, explain them too.
• A note about any compensation you’re offering to the participants.

You may also add other information as needed. After you’ve sent out your letter, there’s a whole process which would follow. From acceptance of your offer to the final approval, you need to know all the steps:

• First off, your participants need to accept your offer/proposal. Once they’ve done that, you can include them in your list of participants for the case study.
• Then, you can give your participants a questionnaire to complete. This would help you out as the information would come directly from them. A questionnaire is a very effective way to collect data from your participants.
• After this, you can interview your participants too. Schedule an interview with each of your participants. Before this though, you should have already prepared all your questions.
• Then you can start making a draft of your case study template. If you’re working with a team, have them review your draft before finalizing it. Otherwise, you can ask your superior or manager to review your document.
• After this, you can finalize your case study. Just make sure that you’ve checked and verified all the information on it.

If your participants ask for it, you can give them a copy of your finalized study. Either that or you can tell them where they can access the document. Do this if you’ve posted it online like on your company’s website .

Case study format may vary depending on different factors. These include the nature of the situation, how you intend to use the information, and more.

Prepare your questions

Let’s go back to the interview process. Before you give the questionnaires to your participants, prepare your questions. The same thing goes for your interviews. If you want to make a strong case study, you should have strong questions too.

Here are some examples to start you off. These are great questions to ask if you’re conducting a study for your business:

• What are you looking for in a product?
• Have you experienced any challenges before purchasing our product?
• What makes our product stand out?
• Why did you make the decision to choose our product?
• What benefits have you gained from using our product?

These are some excellent questions which will give you very useful information. The best part is, you’ll gather the data straight from your participants.

Lay out the case study

Finally, when you have all the information you need, you can start laying out your case study. There aren’t any standard rules for structuring this document. However, it’s important to include certain elements to make the document effective.

These include:

• The title which should be brief but compelling.
• The executive summary . This would describe the document in a brief but interesting way.
• The introduction which would contain information about you and your organization.
• The challenges which would describe the problem or issues. Those which pushed you to create the study.
• The description which states how you helped solve the problem.
• The results of your case study.

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• A Comprehensive Case Study Template: A Step-by-Step Guide

A well-structured case study is an invaluable tool for businesses looking to improve lead generation and deal workflows. By implementing effective document sharing, analytics, and collaboration strategies, organizations can align their processes with innovative features like those offered by Sizle. In this comprehensive guide, we will outline the importance of case studies in research, examine the key components of a successful case study, and provide a step-by-step approach to creating and refining your own case study template.

Understanding the Importance of a Well-Structured Case Study

Case studies play a vital role in research by providing real-world examples and in-depth analysis of specific subjects. By examining successful case studies, businesses can uncover valuable insights and best practices that can be applied to their own endeavors. A well-structured case study not only showcases a company’s achievements but also provides actionable information for others to learn from and replicate their success.

The Role of Case Studies in Research

When conducting research, case studies offer a unique perspective by focusing on individual cases rather than broader statistical data. By delving into the details of a specific situation, case studies provide a depth of understanding that quantitative data alone cannot offer.

For example, imagine a company is interested in understanding the factors that contribute to the success of a particular marketing campaign. By analyzing a case study of a company that achieved exceptional results, they can gain valuable insights into the strategies, tactics, and approaches that led to that success. This in-depth analysis allows businesses to learn from real-world examples and apply those lessons to their own marketing efforts.

Furthermore, case studies provide researchers with the opportunity to explore complex phenomena in a holistic manner. By examining various factors and their interplay within a specific case, researchers can gain a comprehensive understanding of the subject matter. This depth of analysis enables them to identify patterns, relationships, and causal factors that may not be evident through quantitative research alone.

Key Components of a Successful Case Study

A successful case study consists of various key components. Firstly, a clear and concise introduction sets the stage for the study and outlines the objectives to be achieved. This introduction provides the reader with a context for understanding the significance of the case study and its potential implications.

Next, the methodology section explains the research approach, data collection methods, and any limitations. This section is crucial as it ensures transparency and allows other researchers to evaluate the validity and reliability of the study. By clearly outlining the methodology, researchers can establish the credibility of their findings and enhance the trustworthiness of their work.

Once the methodology is established, the results section presents the findings of the case study. This section often includes relevant data, analysis, and visual representations such as charts or graphs. By presenting the results in a clear and organized manner, researchers facilitate the understanding and interpretation of their findings.

Finally, the conclusion summarizes the main takeaways from the case study and discusses the implications and potential applications of the study. This section provides researchers with the opportunity to reflect on the significance of their findings and highlight the practical implications for businesses or other relevant stakeholders.

In conclusion, a well-structured case study is a valuable tool in research. It offers a unique perspective, provides in-depth analysis, and allows for a comprehensive understanding of complex phenomena. By following the key components outlined above, researchers can create case studies that not only showcase achievements but also offer actionable insights for others to learn from and apply in their own endeavors.

Preparing for Your Case Study

Before diving into creating your case study, it is crucial to identify the subject matter and gather all the relevant information. Choosing a subject that is relevant to your industry or audience will ensure the study remains impactful and useful.

When selecting a subject for your case study, consider choosing a client, project, or initiative that was particularly successful or faced unique challenges. This will provide you with rich material to analyze and showcase in your study.

For example, let’s say you work in the technology industry and want to create a case study on a successful software implementation. You could choose a client who experienced significant improvements in their business processes after implementing your software. This would make for an interesting and impactful case study, as it would demonstrate the tangible benefits your software can provide.

Once you have identified your subject matter, gather all the necessary information to support your case study. This may include client testimonials, project timelines, financial data, or any other relevant documentation. Ensuring you have a comprehensive collection of data will enable you to provide a thorough and detailed analysis.

In our software implementation example, you would want to gather testimonials from the client, highlighting the specific challenges they faced before implementing the software and the positive outcomes they experienced afterward. Additionally, you would want to collect data on the project timeline, showcasing the efficiency and effectiveness of the implementation process. Financial data, such as cost savings or revenue increases, would also be valuable to include in your case study.

By gathering all this relevant information, you will be able to present a compelling and well-supported case study that demonstrates the value of your product or service.

Creating Your Case Study Template

Now that you are well-prepared, it’s time to create your case study template. A well-structured template will guide you through the process and ensure consistency throughout your study.

Case studies are powerful tools that allow you to delve deep into a specific subject or problem, providing valuable insights and solutions. By following a structured template, you can effectively communicate your research and findings to your audience.

Outlining Your Case Study

Start by outlining the various sections of your case study, including the introduction, methodology, results, and conclusion. This will provide a clear structure for your study and help you organize your thoughts and data effectively.

The introduction sets the stage for your case study, providing background information and context. It should clearly state the purpose of your study and outline the key questions you aim to answer. By clearly defining your objectives, you can ensure that your research remains focused and relevant.

The methodology section describes the approach you took to conduct your study. It includes details about the research design, data collection methods, and any ethical considerations. By providing a transparent account of your methodology, you enhance the credibility and validity of your findings.

Next, the results section presents the key findings of your study. This is where you analyze and interpret the data you collected, using appropriate statistical or qualitative analysis techniques. By presenting your findings in a structured and organized manner, you make it easier for readers to understand and draw insights from your research.

Finally, the conclusion section summarizes the main points of your case study and highlights the implications of your findings. It is an opportunity to reflect on the significance of your research and its potential impact on the field. By providing a clear and concise conclusion, you leave your readers with a lasting impression and encourage further exploration of the topic.

Structuring Your Findings

Within each section of your case study, structure your findings in a logical and coherent manner. Use subheadings and bullet points to break down complex information into digestible chunks. This will enable readers to navigate and comprehend your study effortlessly.

When structuring your findings, consider the flow of information and the logical progression of ideas. Start with a clear introduction to each section, providing an overview of what will be discussed. Then, present your findings in a systematic manner, ensuring that each point is supported by evidence and analysis.

Subheadings can be used to group related findings together, making it easier for readers to identify and understand the main themes or trends in your research. Bullet points can be used to present concise and impactful information, highlighting key insights or important details.

Remember to use clear and concise language throughout your case study. Avoid jargon or technical terms that may confuse your readers. Instead, strive for clarity and simplicity, ensuring that your findings are accessible to a wide range of audiences.

By following these guidelines and structuring your case study template effectively, you can create a comprehensive and compelling document that showcases your research and insights. Remember to review and revise your template as needed, ensuring that it remains up-to-date and relevant to your study.

Writing Your Case Study

Now that your template is ready, it is time to write your case study. Each section plays a crucial role in conveying your research effectively and engagingly.

Writing a case study requires attention to detail and a clear understanding of the subject matter. It is an opportunity to showcase your research skills and provide valuable insights to your readers.

A well-written case study can captivate your audience and leave a lasting impression. So, let’s dive into the different sections of your case study and explore how to make them more impactful.

Presenting Your Introduction

In the introduction, provide a brief overview of the subject matter and the objectives of your study. This section serves as a hook to grab the reader’s attention and make them interested in your research.

Consider starting with a compelling anecdote or a thought-provoking question related to your case study topic. This will help create a sense of curiosity and urgency in your readers.

Furthermore, emphasize the importance of your case study by highlighting the relevance and potential impact of your findings. This will make your readers understand why they should continue reading and what they can gain from your research.

Detailing Your Methodology

In the methodology section, outline the research approach and data collection methods employed. This is a critical part of your case study as it establishes the credibility and rigor of your study.

Provide a detailed explanation of the steps you took to gather data, including any specific tools or techniques used. This will help readers understand the validity and reliability of your study and the factors taken into account during the research process.

Additionally, discuss any limitations or challenges you encountered during the research. This shows transparency and allows readers to assess the potential impact on your findings.

Discussing Your Results

In the results section, present your findings with supporting evidence and analysis. This is where you showcase the fruits of your research and provide valuable insights to your readers.

Utilize visual aids, such as charts and graphs, to enhance the readability and impact of your results. Visual representations can make complex data more accessible and help readers grasp the key takeaways easily.

While presenting your results, ensure that you clearly articulate the implications and significance of your findings. Discuss how your research contributes to the existing body of knowledge and highlight any potential applications or future research directions.

Remember to support your findings with relevant literature and previous studies. This demonstrates that your research is grounded in existing knowledge and adds credibility to your case study.

Writing a comprehensive and engaging case study requires careful attention to each section. By following these guidelines, you can create a compelling narrative that effectively communicates your research and captivates your readers.

Reviewing and Refining Your Case Study

Once you have completed your case study, it is essential to review and refine it to ensure its quality and accuracy. This process involves proofreading, making necessary adjustments, and finalizing your study for publication.

The Importance of Proofreading

Before submitting your case study, thoroughly proofread it to eliminate any spelling or grammatical errors. Reread each section to ensure coherence and consistency throughout the study. This attention to detail will enhance the professionalism and credibility of your work.

Making Necessary Adjustments

If during the review process you identify areas that require improvement or clarification, make the necessary adjustments. Seek feedback from colleagues or industry experts to gain additional perspectives and ensure your case study is accurate, relevant, and impactful.

In conclusion, a comprehensive case study template provides a step-by-step guide to creating a well-structured and impactful research document. By understanding the importance of case studies in research and implementing effective strategies, businesses can improve their lead generation and deal workflows. Utilizing tools like document sharing, analytics, and collaboration, such as those offered by Sizle, can further enhance the efficiency and outcomes of case study creation. By following the outlined steps, businesses can develop compelling case studies that showcase their achievements, provide valuable insights, and inspire others to achieve similar success.

Jeremy from Sizle.io

We write regular document sharing tutorials, tips to help you be more productive.

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How to Create a Case Study + 14 Case Study Templates

Written by: Brian Nuckols

When it comes to high impact marketing content, case studies are at the top of the list for helping show off your brand’s stuff. 

In this post, I’ve put together a few high-level case study design tips as well as 14 professionally designed case study templates that you can use to start designing beautiful case studies today. 

Let’s begin! 

Here’s a short selection of 12 easy-to-edit case study templates you can edit, share and download with Visme. View more templates below:

What is a Case Study?

A case study is a way for you to demonstrate the success you’ve already had with existing clients. When you create a case study, you explore how previous clients have used your product or service to reach their goals. 

In particular, a case study highlights a specific challenge or goal one of your clients was struggling with before they discovered your product. 

It then demonstrates how your work has assisted them on the journey towards overcoming the challenge or accomplishing the goal. 

A case study’s outcome is typically to share the story of a company’s growth or highlight the increase of metrics the company tracks to understand success. 

The case study includes an analysis of a campaign or project that goes through a few steps from identifying the problem to how you implemented the solution. 

How to Write a Case Study

When it comes to adding irresistible design to your content from the start, using a helpful tool is a great start. Sign up for a free Visme account and start highlighting your own client success stories using one of our case study templates today. 

Also, while you’re beginning to transition your case study workflow to include a professional design tool, it’s helpful to review some high level principles you can incorporate into your case study. 

We’ll start by reviewing some of the critical style tips and structural elements to include in your case study before progressing to a more detailed design section. 

Pinpoint Your Main Message

When designing an impactful case study, it’s essential to stay clear on the metrics that you’re highlighting. The process of overcoming business challenges is a dynamic process with many moving parts. 

If you do not stay focused on what matters in your case study, you risk obscuring the big win your client experienced by using your product or service. 

This is why you need to focus on a single message or metric. This is often called the north star metric . 

The north star metric is the single most crucial rate, count or ratio that helped your client move closer towards their goals or overcame an obstacle. 

While north star metrics are context dependent, a useful heuristic you can utilize is to figure out the most predictive metric of your client’s long term success. 

In the template I’ll highlight below, cost per lead was the north star metric that The College for Adult Learning needed to optimize. 

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Use Emotionally Rich Language 

Recently researchers at Presado did an interesting study to understand the types of language that help readers take action. They broke the content included in marketing assets into several categories, including functional, emotional and descriptive. 

In the most successful pieces of content, the researchers found that emotionally coded words were present in 61% of the content’s total volume.

This research shows the benefit of using emotionally engaging content in your case study. While it’s essential to focus on the concrete evidence of how you helped your client get from where they started to a successful outcome, do not forget to highlight the emotional journey. 

Use Data For Concrete Evidence 

Once you’ve decided on the north star metric to highlight and you choose the emotional response you want to reinforce in your case study, it’s important to use actual data from the project to share the concrete results your product helped to achieve. 

To make sure your audience can follow your line of thinking, make sure the data in your case study is precise. If you track data across time, your readers must know whether you chose to track by month or years. 

If there are any apparent trends, you can use color to highlight specific areas in a chart. 

If you want to dig deeper into using data to tell compelling stories, check out our video data storytelling tips to improve your charts and graphs. 

In the template below, The College for Adult Learning case study is an excellent example of how these elements can work together. 

Cost per lead was a critical north star metric, so we chose to emphasize the increase in revenue and a decrease in cost per lead. 

Additionally, the background section uses emotionally rich language by highlighting how the school helps students get ahead with their career goals. Also, the factual data is the centerpiece of this page in the case study.

If you’re ready to share how you impacted a client, use the College for Adult Learning case study template right now! 

Include All Necessary Parts of a Case Study

After you’ve interviewed your client and you’re getting ready to start writing, it’s important to remember each piece you need to cover.

All good case studies consist of five parts: Introduction, Challenge, Solution, Benefit and Result.

While you don’t necessarily need to label each section like that, be sure that the flow makes sense and covers each section fully to give your audience the full scope of your case study.

RELATED: 15 Real-Life Case Study Examples & Best Practices

14 Case Study Templates

Now that we have explored some of the high level strategies you can use to create a business case study, we will transition to 14 case study design templates you can use with Visme. 

1. Fuji Xerox Australia Case Study Template

Use the Fuji Xerox case study template to showcase the concrete results you achieved for your clients. It has sections where you can explain the goals you started with and the results you achieved. 

2. College for Adult Learning Case Study Template

As we’ve explored already, the College for Adult Learning template has sections where you can embrace a data driven storytelling approach while also connecting with your audience using emotionally rich language. 

Utilize the professionally designed business case study to connect with your audience. 

3. Intel Case Study Template

The Intel case study has beautiful visual elements and gives you space to share the project’s context and the goals you set out to achieve. It also allows you to get concrete with the results you achieved. 

You can always use the Visme Brand Kit to incorporate your unique brand colors into this stunning design. 

4. Bit.ly Case Study Template

Bit.ly is a marketing product that helps brands track how they are doing with campaign results. The bit.ly business case study template showcases how they drove impressive results for an eCommerce business. 

You can modify the professionally designed case study template to illustrate the key results you drive for your clients. 

5. NVISIONCenters Case Study Template

The NVISIONCenters case study template is an excellent example of how powerful it is to pair beautiful designs with the results you generate for your clients. In this case study, we see how you can transform your past accomplishments into a powerful marketing asset. 

6. Adobe Case Study Template

The Adobe case study is an exciting example of a business case study because it does a great job illustrating how you can use a specific result to create a powerful marketing asset. 

Adobe had a particular goal of branding to position itself as a leader for the future of digital marketing. LinkedIn sponsored messages was an effective tactic to drive the outcome Adobe needed. 

You can use the Adobe case study template to demonstrate the success of your most effective tactics. 

7. Inkjet Wholesale Case Study Template

The Inkjet wholesale case study template is an excellent choice if you want to experiment with your case study’s visual element. The roadmap to objectives diagram is a powerful graphic that illustrates the journey of a successful campaign. 

8. Neutrogena Case Study Template

If you have a strong visual brand to tell your case study’s story with visuals, the Neutrogena template is a great choice. It is already designed with plenty of space to highlight your visuals. 

When it is all said and done, you have the results section to complete a successful client partnership story.

9. Weebly Case Study Template

The Weebly case study template is your choice if you want to add visual flair to your case study. The beautiful layout is a testament to the power of pairing minimal design with an exciting statistic. 

10. Patagonia Case Study Template

The Patagonia case study is a perfect example of how crucial it is to make design choices based on your brand’s unique personality. 

It is a fantastic choice if you have a project to showcase featuring a brand with a distinct brand aesthetic.  

11. Think With Google Case Study Template

The Think With Google case study template tells the story of a mobile game that needed to create more engagement on their app. 

It is a visually impactful case study design template that you can use to tell a compelling story about your results. 

12. Kleenex Case Study Template

This case study template is the perfect way to show off search marketing results for a client or other highly specific KPIs that you managed to accomplish.

Insert the initial challenge followed by your company’s solution and adjust the included data visualization tools to showcase your specific results.

13. Customer Experience Presentation Case Study Template

The presentation case study template is an excellent choice for blending beautiful visual elements with the ability to give detailed information about the results you generated, as well as showcasing that data in a unique format. 

If you are ready to show how the unique features of your product or service drove real world business results then it is a good choice for your case study. 

14. Webinar Presentation Case Study Template

One small business saw incredible results when using Visme to optimize their webinar workflow. They saved 100 hours of their precious time by incorporating our collaborative design tools. 

We designed the small business template using those results as an example. When you have an eye catching effect to showcase to your audience, you can use this template as a starting point. 

Case Study Design Tips

Now that we’ve explored the 14 templates you can use with Visme to create your case study, let’s take a look at some practical design tips that will take your content to the next level. 

Be Brief In Your Case Study 

In discussions about writing with style, brevity is a common topic. However, it’s also an important design principle. 

Brevity in design is when you find the best way to perform your intended objective in as few steps as possible. 

When designing your case study, make sure you do not add extraneous visual elements where they are not needed. Instead, think of the effect you want to have on your reader and try to do it simply. 

Describe Your Vision Clearly

Earlier in this article, I wrote about the north star metric, your case study’s emotional effect and using data to make the case study concrete. Your design choices should serve to reinforce these primary goals. 

Clarity in design is when all of the visual elements add up to a whole. 

A great example of this is in the small business case study template where the shapes, typography and color scheme all emphasize the main idea that Visme helps the reader save time. 

Create A Consistent Style 

Visual consistency is a fundamental design principle that you can not afford to ignore in your case study. It will help you increase readability and make sure your audience does not get frustrated with jarring visual elements. 

In short, a consistent style is when you use a uniform color scheme, typography and the same kinds of visual elements throughout the case study. 

Use A Case Study Template For Readability

Readability is a crucial element of design, especially for case studies that are experienced on mobile devices. Contrast is an impactful readability principle. 

Make sure any contrasting colors you chose are easy on the eye and your reader does not have to strain to read your case study. 

Use Proper Alignment In Your Case Study 

Alignment is one of the principles of design that sets professionally designed business case study templates apart. Great designers have an intuitive eye for the mathematically based ratios of proximity invisible in sound design and an eyesore in lousy design. 

The good news is that you do not have to be a mathematician nor a professional designer to have a perfect alignment for your case study. Visme utilizes an easy to use drag and drop design tool that helps you achieve proper alignment in your case study. 

Let Your Brand Personality Speak

When we make intentional design decisions, we want to create a positive emotional experience for our audience. One of the best ways to do that is to make decisions that showcase your brand’s unique personality .

Is the case study you are creating like a well dressed business person who is serious, trustworthy and capable of doing a great job? Is it more like an extravert at a party bouncing from person to person lighting up the room? 

There is no right answer, but you need to infuse your viewpoint into the case study you create if you want to create a unique design. 

Start Designing Your Case Study Today 

A professionally designed case study template will help you create a stunning case study. While reviewing some high level design strategies is an important step, a tool like Visme will help you make a real impact on your audience.

If you’re ready to create your next case study, get started with Visme today .

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About the Author

Brian Nuckols is a writer working in Pittsburgh, Pennsylvania. He enjoys communicating visionary ideas in clear, action oriented language. When he’s not working on content for a transformative company you can find him analyzing dreams, creating music, and writing poetry.

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Free Google Docs Case Study Templates

By Kate Eby | January 18, 2024

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We’ve collected several free, customizable case study templates in Google Docs format for marketing managers, content creators, sales reps, and product managers. Use these templates for customer stories, sales collateral, and product development.

On this page, you’ll find eight dynamic Google Docs case study templates, including a  case study report template , a  project case study template , a  marketing case study template , and a  one-page case study template .

Google Docs Simple Case Study Template

Download the Sample Simple Case Study Template for Google Docs Download the Blank Simple Case Study Template for Google Docs

When to Use This Template: Marketing managers and content creators can use this template — with or without sample data — to deliver clear and short case studies. First-time case study writers will appreciate the template’s straightforward approach. 

Notable Template Features:  This simple case study template focuses on the main points and results, so it's not overly detailed. You’ll find room to include an introduction, customer challenges, marketing strategies, and results.

See this selection of free marketing case studies available in PowerPoint format that are ready to use in presentations.

Google Docs Case Study Report Template

Download the Sample Case Study Report Template for Google Docs Download the Blank Case Study Report Template for Google Docs

When to Use This Template: Use this case study report template for Google Docs to make a detailed report. Download the version with sample text to get an idea of how to complete the template. It's perfect for marketing managers or product managers who want to dive deep into their analysis and show lots of data and insights. 

Notable Template Features: The report-style format of this template features a comprehensive layout with plenty of room to go into detail and depth. When complete, it helps you look closely at complex marketing issues, evaluate lots of data, and put together clear, professional reports. 

Check out these free marketing case study templates in various formats, ideal for highlighting marketing achievements and tactics.

Google Docs Project Case Study Template

Download the Sample Project Case Study Template for Google Docs Download the Blank Project Case Study Template for Google Docs

When to Use This Template:  Choose this project case study template when you want to show off how well you managed and executed your project. Project managers or content creators who need some guidance on how to complete this template should download the version with sample text. 

Notable Template Features:  The visually driven template format renders the content easier to grasp and effectively communicates the success of your marketing tactics. Use visuals such as line charts, pie charts, and bar charts to explain your project's success in a clear, easy-to-understand way. 

For additional sales tools, take a look at our selection of free case study templates available in Microsoft Word format.

Google Docs Marketing Case Study Template

Download the Sample Marketing Case Study Template for Google Docs Download the Blank Marketing Case Study Template for Google Docs

When to Use This Template:  Marketing managers, sales representatives, and content creators who want to demonstrate how their efforts have positively impacted the business should use this marketing case study template. Download the version with sample text for guidance on completing your own case study. 

Notable Template Features: This template includes additional sections specifically designed for marketing stories. You’ll find space to provide information about the company, challenge, solution, what happened, and benefits. Its visually appealing format helps explain complex marketing information simply.

Google Docs One-Page Case Study Template

Download the Sample One-Page Case Study Template for Google Docs Download the Blank One-Page Case Study Template for Google Docs

When to Use This Template:  Select this one-page case study template — with or without sample data — when you need to make a strong impression fast. It's great for sales representatives or marketing managers who want to grab the attention of busy decision-makers with a short, impactful summary. 

Notable Template Features: The template’s concise one-page format helps you get straight to the point. Add information about key results and any highlights and use it as part of a sales pitch or other business presentation.

Google Docs Problem-Solution-Impact Case Study Template

Download the Sample Problem-Solution-Impact Case Study Template for Google Docs Download the Blank Problem-Solution-Impact Case Study Template for Google Docs

When to Use This Template: Choose this problem-solution-impact case study template to outline a clear sequence of events. Download the version with sample text to see how to identify the problem and reveal the solution and its effects in a straightforward way.

Notable Template Features:  This template’s linear narrative structure sets it apart. Complete the  Problem, Solution , and  Impact  sections to end up with a straightforward, chronological approach to storytelling.

Google Docs Comparative Study Template

Download the Sample Comparative Study Template for Google Docs Download the Blank Comparative Study Template for Google Docs

When to Use This Template: Use this comparative study template to compare such items as marketing campaigns or strategies. Download the version with sample data to quickly see an example that highlights changes over time or how different approaches stack up against each other. 

Notable Template Features: This template layout is ideal for side-by-side comparisons. You can easily put two items next to each other to see how they compare, making it a useful tool for looking at changes and trends clearly.

Google Docs Case Study Storyboard Template

Download the Sample Case Study Storyboard Template for Google Docs Download the Blank Case Study Storyboard Template for Google Docs

When to Use This Template:  Pick this case study storyboard template when you want to present your case study like a visual story. It’s perfect for marketing teams that prefer using more pictures and fewer words in their case study.

Notable Template Features: This template focuses on storytelling with visuals. Unlike other templates, it uses images and graphics to walk through the case study, making it stand out for presentations.

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R Markdown templates for tidy data analysis and case study analysis

HaydenMacDonald/hmdrmd

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This is a collection of R Markdown 1 templates created for data analysis project workflows including:

Tidy Analysis

Case study analysis, installation.

In order to render pdf documents from R Markdown files, you will need LaTeX. If you have never installed a LaTex distribution, you can do so using the TinyTeX package .

Once hmdrmd and tinytex are installed, you can access these templates in RStudio through the following path:

File > New File > R Markdown... > From Template.

Defaults for pdf output are controlled through the YAML header. The default main font ( mainfont ) and code font ( monofont ) are set to CMU Serif Roman and Fira Code Medium , respectively. Remove or change these options from the YAML header to customize your document's font.

A basic template for tidy data analysis for educational or professional use. This R Markdown file outputs a pdf for reporting results.

The document is broken into six sections, including:

• Communicate / Export

Example of Tidy Analysis template

R Markdown template for case study analyses based on William Ellet's case study guide in The Case Study Handbook, Revised Edition: A Student's Guide (2018) 2 . This template is intended to be used by students in educational and research environments involving case analyses.

This R Markdown file outputs a pdf report with settings adjusted in the YAML header.

The document contains 12 essential steps for case study analysis, separated into 6 sections:

• Role and Scenario
• Uncertainties
• Action Plan

Example of Case Study Analysis template

Submit issues here on GitHub.

If you are interested in extending the functionality of this package, fork this repository, make your changes and submit them as a pull request.

This package was authored by Hayden MacDonald, but borrows heavily from the work by JJ Allaire and Yihui Xie in rmarkdown 1 .

The hmdrmd and rmarkdown packages are licensed under the GPLv3 ( http://www.gnu.org/licenses/gpl.html ).

References & Footnotes

1 : Allaire, JJ., Xie, Y., McPherson, J., Luraschi J., Ushey, K., Atkins, A., Wickham, H., Cheng, J., Chang, W., & Iannone, R. (2017). rmarkdown: Dynamic documents for R. R package version 1.11. URL: https://CRAN.R-project.org/package=rmarkdown

2 : Ellet, W. (2018). The case study handbook, revised edition: A student's guide . Boston, Massachussets: Harvard Business Review Press.

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Case studies and research work are the product of hard work. These kinds of finding and analytical results are very essential for further studies, Every time you work on some case study you get completely different results. It can be very essential for students to increase their knowledge. Including case studies in the syllabus of universities will be very helpful. You can use this analysis template to analyze case studies for better understanding.

Step 1: Select the Case Study Related to Your Topic

Step 2: read thoroughly, step 3: learn some analyzing methods, step 4: do the analysation, step 5: the final result.

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Investigative study layout template, problem solution case study template, simple field study template, in-depth case study template, professional case study research template, printable academic case study template, healthcare case study template, social work case study template, psychology case study template.

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Fluid and lithology discrimination using integrated facies, petrophysical modelling and (AI and v p /v s ) rock physics template analysis derived from well data in the carbonate fault-controlled reservoir: A case study from the North Beda Field, Amin High, Sirt Basin, Libya

• Research Article - Applied Geophysics
• Published: 28 September 2024

Cite this article

• Mohammed S. Gumati   ORCID: orcid.org/0000-0002-2271-7964 1  

The rock physics template (RPT) represents a trustful method to understand the reservoir properties and attempts to predict the reservoir’s behaviour under various porosity levels, water saturation and clay content. However, many RPT applications were applied on clastic rocks compared to carbonates due to their complex pore systems. Therefore, this study attempts to construct a suitable RPT for the Beda carbonate reservoir, with 3D facies and petrophysical models based on well log data collected from 41 wells of North Beda Field in the western Sirt Basin. Seven wells include core permeability, porosity and lithology data. Two main bounding faults are identified based on well-correlation and divided the reservoir architectural structure into an exposed fault-block and also have controlled subsurface reservoir heterogeneities, lithofacies and petrophysical parameters distributions. However, core data analysis has revealed that the Beda reservoir is made up of four main types of lithofacies, which are classified as Lithofacies A (limestone), Lithofacies B (dolostone), Lithofacies C (shale) and Lithofacies D (shaly limestone) deposited in a wide range of shallow-marine environments. Lithofacies A and B are categorised as having good to excellent carbonate reservoir quality with an average 23% porosity and > 160 mD permeability. According to the log response characteristics, the reservoir consists of a series of electrofacies patterns, which are divided into nine isolated vertical units, reflecting differences in petrophysical properties. The AI- v p /v s crossplots show that the shale and clean carbonate line can easily be distinguished. A higher shale content zone is characterised by increased v p /v s ratios and decreased AI. Additionally, crossplots with porosity colour-scale successfully divided the reservoir into three porosity zones: excellent, fair to very good and poor. Crossplots comparison between two wells from hanging and footwall sides shows that the shale volume and the water saturation have increased in the hanging wall well and decreased in the footwall well, which indicates an increasing in the hydrocarbon saturation with a relative decrease in acoustic impedance and v p /v s values. Results prove that faults and fractures played pivotal roles in enhancing reservoir quality in the high area by enabling larger volumes of fluids to be filtrated and migrated. Besides, the RPT provides robust control of well log data and elastic properties to differentiate the lithology and fluid content in the carbonate reservoir.

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Acknowledgements

I would like, to thank AGOCO for supplying the necessary borehole data and for permission to publish this work. In particular, Reservoir Departments are deeply appreciated. My special thanks also extend to three anonymous reviewers for their constructive and insightful comments. My special thanks also extend to Schlumberger Ltd for providing academic licenses for software platforms. Datasets associated with this research are confidential and cannot be released or copied by third parties to prevent competitive bodies’ use of this information in regional links and interpretations according to AGOCO privacy and policy.

The authors did not receive support from any organization for the submitted work.

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Mohammed S. Gumati

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Gumati, M. Fluid and lithology discrimination using integrated facies, petrophysical modelling and (AI and v p /v s ) rock physics template analysis derived from well data in the carbonate fault-controlled reservoir: A case study from the North Beda Field, Amin High, Sirt Basin, Libya. Acta Geophys. (2024). https://doi.org/10.1007/s11600-024-01447-8

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Received : 11 December 2023

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DOI : https://doi.org/10.1007/s11600-024-01447-8

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Model site agreements (model contracts, standard research agreements)

• Published: 24 May 2019
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Model agreements, often called model Clinical Trial Agreements (mCTAs), of one of two UK-wide tools you will need to use to complete National Contract Value Review (NCVR) - the UK’s standardised, national approach to costing and contracting for commercial contract research. 

If you are not familiar with NCVR, visit our Costing and contracting using National Contract Value Review (NCVR) web page . This helpful overview explains what NCVR is, why it has been implemented, and how it is helping to speed up the costing and contracting activities for commercial clinical research in the UK.

Unmodified use of the appropriate model agreement helps to speed up the contracting process for studies carried out in the NHS, by removing site-by-site review and negotiation. Unmodified use is a general expectation and, in most cases, an obligation for the NHS - as set out in the National Directive on Commercial Contract Research Studies . This standardised approach protects all parties, enables studies to start earlier and gives NHS patients faster access to innovative treatments in high quality research. The suite of model site agreements are supported by guidance which sets out the aims and provides details on how the agreement should be used in the development of contracts for clinical research sponsored by pharmaceutical, biopharmaceutical or medical technology companies.

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model Industry Collaborative Research Agreement (mICRA)

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