March 9, 2022

Affinity mapping - an introduction

User research is key to discovering the inner workings of your users’ minds – their emotional, organizational, informative needs and desires. These are all super important to creating a user experience that is intuitive and meeting your users’ needs in a way that means they feel loved, cared for and considered. All the deep understanding stuff that keeps them coming back!

Qualitative research allows you to collect verbatim data from participants that give insights into why they do or feel things. You can even get into whether ‘Dee’ understood how the website worked or why ‘Andrew’ would (or wouldn’t) revisit the app outside of testing.

Gathering these awesome insights is one step. Analyzing and organizing these is a skill and talent in its own right. And armed with the right tools or methods it can be immersive, interesting and a great way to get under the skin of your users. Let’s take a look at affinity mapping as a method of analyzing this data - as a tool it can help researchers visualize and easily group and theme data.

Affinity mapping is used outside of the UX world and can be done independently, however is a great analysis method to use collaboratively. For researchers, it can be a great tool to collaborate and engage the team and potentially stakeholders. Bringing people together to identify, discuss and resolve user experience issues. 

Here we’ll lay out what affinity mapping is, specifically why it’s useful for user research and set out key steps to get you underway. 

What is Affinity Mapping? 🗺️

By definition, affinity mapping is the process of collecting, organizing, and grouping qualitative data to create an affinity diagram.

Put simply it is a tool to group, map, sort and categorize information. A tool where you’ll look at the information and patterns of your qualitative user research and work to group these together to make sense of them. It helps you to find patterns, similar outcomes and insights that allow you to draw conclusions and collate results in a cohesive manner, then report to the wider team in a way that makes sense and provides a clear road to applicable and achievable outcomes.

What is an Affinity Diagram? 🖼️

An affinity diagram is what you have once you have gone through the affinity mapping process. It is the final ‘diagram’ of your grouping, sorting and categorizing. An ordered visual sorting of insights and information from your user research. And the place to filter or funnel observations and information into patterns and reach final outcomes. 

Allowing you to see where the key outtakes are and where there may need to be improvements, changes or updates. And from here a roadmap can be decided.

An affinity map using Reframer by Optimal Workshop

Essentially the mapping part is the process of creating the diagram, a visual sorting of insights and information from your user research. So how do you make affinity mapping work for you?

1. Start with a large space

This could be a table, desk, pinboard or even a whiteboard. Somewhere that you can stick, pin or attach your insights to in a collaborative space. Becoming more common recently is the use of shared digital and online whiteboard tools.  allowing people to access and participate remotely.

2. Record all notes

Write observations, thoughts, research insights on individual cards or sticky notes.

3. Look for patterns

As a group read, comment and write notes or observations. Stick each of the notes onto the board, desk or whiteboard. Add, and shuffle into groups as you go. You can keep adding or moving as you go.

4. Create a group/theme

This will start to make sense as more sticky notes are added to the map. Creating groups for similar observations or insights, or for each pattern or theme.

Create a group/theme using affinity mapping

5. Give each theme or group a name

As more notes are added there will be natural groups formed. Openly discuss if there are notes that are more difficult to categorize or themes to be decided. (We’ve outlined some ideas for UX research themes in another section below.)

6. Determine priorities

You’ve tidied everything into themes and groups, now what? How do you decide which of these are priorities for your organization? Discussion and voting can be the best way to decide what outcomes make the most sense and may have the biggest impact on your business.

7. Report on your findings

Pulling together and reporting on the findings through your affinity diagram process should be key to putting actionable outcomes in place.

How to define research themes 🔬

Commonly, user research is digested through thematic analysis. During thematic analysis, you aim to make sense of all the notes, observations, and discoveries you’ve documented across all your information sources, by creating themes to organize the information. 

Depending on your role and the type of research you conduct, the themes you create for your affinity diagram can vary. Here are some examples of affinity groups that you could form from your UX research:

  • User sentiment and facial expressions when completing certain tasks
  • Frequently used words or phrases when describing a product or experience
  • Suggestions for improving your product or experience

Wrap up 🌯

Qualitative user testing and the resulting observations can be some of the best insights you get into your users’ minds. Filtering, organizing and ordering these disparate and very individual observations can be tricky. Especially if done in silo.

So, draw a team together, bring in stakeholders from throughout your organization and work collaboratively to sort, organize and categorize through affinity mapping. This opens the doors to discussion, buy-in and ultimately a collective understanding of user research. Its importance and its role within the organization. And most importantly the real-world implications UX research and its insights have on organizational products and output.

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Dive deeper into participant responses with segments

Our exciting new feature, segments, saves time by allowing you to create and save groups of participant responses based on various filters. Think of it as your magic wand to effortlessly organize and scrutinize the wealth of data and insight you collect in your studies. Even more exciting is that the segments are available in all our quantitative study tools, including Optimal Sort, Treejack, Chalkmark, and Questions.

What exactly are segments?

In a nutshell, segments let you effortlessly create and save groups of participants' results based on various filters, saving you and the team time and ensuring you are all on the same page. 

A segment represents a demographic within the participants who completed your study. These segments can then be applied to your study results, allowing you to easily view and analyze the results of that specific demographic and spot the hidden trends.

What filters can I use?

Put simply, you've got a treasure trove of participant data, and you need to be able to slice and dice it in various ways. Segmenting your data will help you dissect and explore your results for deeper and more accurate results.

Question responses: Using a screener survey or pre - or post-study questions with pre-set answers (like multi-choice), you can segment your results based on their responses.

URL tag: If you identify participants using a unique identifier such as a URL tag, you can select these to create segments.

Tree test tasks, card sort categories created, first click test and survey responses: Depending on your study type, you can create a segment to categorize participants based on their response in the study. 

Time taken: You can select the time taken filter to view data from those who completed your study in a short space of time. This may highlight some time wasters who speed through and probably haven’t provided you with high-quality responses. On the other hand, it can provide insight into A/B tests for example, it could show you if it’s taking participants of a tree test longer to find a destination in one tree or another.

With this feature, you can save and apply multiple segments to your results, using a combination of AND/OR logic when creating conditions. This means you can get super granular insights from your participants and uncover those gems that might have otherwise remained hidden.

When should you use segments?

This feature is your go-to when you have results from two or more participant segments. For example, imagine you're running a study involving both teachers and students. You could focus on a segment that gave a specific answer to a particular task, question, or card sort. It allows you to drill down into the nitty-gritty of your data and gain more understanding of your customers.

How segments help you to unlock data magic 💫

Let's explore how you can harness the power of segments:

Save time: Create and save segments to ensure everyone on your team is on the same page. With segments, there's no room for costly data interpretation mishaps as everyone is singing from the same hymn book.

Surface hidden trends: Identifying hidden trends or patterns within your study is much easier.  With segments,  you can zoom in on specific demographics and make insightful, data-driven decisions with confidence.

Organized chaos: No more data overload! With segments, you can organize participant data into meaningful groups, unleashing clarity and efficiency.

How to create a segment

Ready to take segments for a spin?  To create a new segment or edit an existing one, go to  Results > Participants > Segments. Select the ‘Create segment’ button and select the filters you want to use. You can add multiple conditions, and save the segment.  To select a segment to apply to your results, click on ‘All included participants’ and select your segment from the drop-down menu.  This option will apply to all your results in your study. 


We can't wait to see the exciting discoveries you'll make with this powerful tool. Get segmenting, and let us know what you think! 

Help articles

How to add a group tag in a study URL for participants

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1 min read

Using User Engagement Metrics to Improve Your Website's User Experience

Are your users engaged in your website? The success of your website will largely depend on your answer. After all, engaged users are valuable users; they keep coming back and will recommend your site to colleagues, friends, and family. So, if you’re not sure if your users are engaged or not, consider looking into your user engagement metrics.

User engagement can be measured using a number of key metrics provided by website analytics platforms. Metrics such as bounce rate, time on page, and click-through rate all provide clues to user engagement and therefore overall website user experience.

This article will help you understand user engagement and why it’s important to measure. We’ll also discuss how to apply user engagement insights to improve website success. Combining a little bit of data with some user research is a powerful thing, so let’s get into it.

Understanding User Engagement Metrics 📐

User engagement metrics provide valuable insight for both new and existing websites. They should be checked regularly as a sort of ‘pulse check’ for website user experience and performance. So, what metrics should you be looking at? Website metrics can be overwhelming; there are hundreds if not thousands to analyze, so let’s focus on three:

Bounce rate


Measures the percentage of users that visit just one page on your site before leaving. If your bounce rate is high it suggests that users aren’t finding the content relevant, engaging, or useful. It points to a poor initial reaction to your site and means that users are arriving, making a judgment about your design or content, and then leaving.

Time on page


Calculated by the time difference between the point when a person lands on the page and when they move on to the next one. It indicates how engaging or relevant individual pages on your website are. Low time on page figures suggest that users aren’t getting what they need from a certain page, either in terms of the content, the aesthetics, or both.

Click-through rate


Click-through rate compares the number of times someone clicks on your content, to the number of impressions you get (how many times an internal link or ad was viewed). The higher the rate, the better the engagement and performance of that element. User experience design can influence click-through rates through copywriting, button contrasts, heading structure, navigation, etc.

Conversion rate


Conversion rates are perhaps the pinnacle of user engagement metrics. Conversion rate is the percentage of users that perform specific tasks you define. They are therefore dictated by your goals, which could include form submissions, transactions, etc. If your website has high conversion rates, you can be fairly confident that your website is matching your users’ needs, requirements, and expectations.

But how do these metrics help? Well, they don’t give you an answer directly. The metrics point to potential issues with website user experience. They guide further research and subsequent updates that lead to website improvement. In the next section, we’ll discuss how these and others can support better website user experiences.

Identifying Areas for Improvement 💡

So, you’ve looked at your website’s user engagement metrics and discovered some good, and some bad. The good news is, there’s value in discovering both! The catch? You just need to find it. Remember, the metrics on their own don’t give you answers; they provide you direction.

The ‘clues’ that user engagement metrics provide are the starting point for further research. Remember, we want to make data-driven decisions. We want to avoid making assumptions and jumping to conclusions about why our website is reporting certain metrics. Fortunately, there are a bunch of different ways to do this.

User research data can be gathered by using both qualitative and quantitative research techniques. Insights into user behavior and needs can reveal why your website might be performing in certain ways. Research can include both qualitative and quantitative techniques.

Qualitative research techniques

  • Usability test – Test a product with people by observing them as they attempt to complete various tasks.
  • User interview – Sit down with a user to learn more about their background, motivations and pain points.
  • Contextual inquiry – Learn more about your users in their own environment by asking them questions before moving onto an observation activity.
  • Focus group – Gather 6 to 10 people for a forum-like session to get feedback on a product.

Quantitate research techniques

  • Card sorts – Find out how people categorize and sort information on your website.
  • First-click tests – See where people click first when tasked with completing an action.
  • A/B tests – Compare 2 versions of a design in order to work out which is more effective.
  • Clickstream analysis – Analyze aggregate data about website visits.
  • Tree-testing - Test your site structure using text-only categorization and labels

The type of research depends on what question you want to answer. Being specific about your question will help you identify what research technique(s) to deploy and ultimately the quality of your answer. If you’re serious about website improvement; identify problem areas with user engagement metrics, and investigate how to fix them with user research.

Optimizing Content and Design

If you have conducted user research and found weak areas on your website, there are many things to consider. Three good places to start are navigation, content, and website layout. Combined, these have a huge impact on user experience and can be leveraged to address disappointing engagement metrics.

Navigation


Navigation is a crucial aspect of creating a good user experience since it fundamentally connects pages and content which allows users to find what they need. Navigation should be simple and easy to follow, with important information/actions at the top of menus. Observing the results of card sorting, tree testing, and user testing can be particularly useful in website optimization efforts. You may find that search bars, breadcrumb trails, and internal links can also help overcome navigation issues.

Content


Are users seeing compelling or relevant content when they arrive on your site? Is your content organized in a way that encourages further exploration? Card sorting and content audits are useful in answering these questions and can help provide you with the insights required to optimize your content. You should identify what content might be redundant, out of date, or repetitive, as well as any gaps that may need filling.

Layout


A well-designed layout can improve the overall usability of a website, making it easier for users to find what they're looking for, understand the content, and engage with it. Consider how consistent your heading structures are and be sure to use consistent styling throughout the site, such as similar font sizes and colors. Don’t be afraid to use white space; it’s great at breaking up sections and making content more readable.

An additional factor related to layout is mobile optimization. Mobile-first design is necessary for apps, but it should also factor into your website design. How responsive is your website? How easy is it to navigate on mobile? Is your font size appropriate? You might find that poor mobile experience is negatively impacting user engagement metrics.

Measuring Success 🔎

User experience design is an iterative, ongoing process, so it’s important to keep a record of your website’s user experience metrics at various points of development. Fortunately, website analytics platforms will provide you with historic user data and key metrics; but be sure to keep a separate record of what improvements you make along the way. This will help you pinpoint what changes impacted different metrics.

Define your goals and create a website optimization checklist that monitors key metrics on your site. For example, whenever you make an update, ensure bounce rates don’t exceed a certain number during the days following; check that your conversion rates are performing as they should be; check your time on sites hasn’t dropped. Be sure to compare metrics between desktop and mobile too.

User’s needs and expectations change over time, so keep an eye on how new content is performing. For example, which new blog posts have attracted the most attention? What pages or topics have had the most page views compared to the previous period? Tracking such changes can help to inform what your users are currently engaged in, and will help guide your user experience improvements.

Conclusion 🤗

User engagement metrics allow you to put clear parameters around user experience. They allow you to measure where your website is performing well, and where your website might need improving. Their main strength is in how accessible they are; you can access key metrics on website analytics platforms in moments. However, user engagement metrics on their own may not reveal how and why certain website improvements should be made. In order to understand what’s going on, you often need to dig a little deeper.

Time on page, bounce rate, click-through rate, and conversion rates are all great starting points to understand your next steps toward website improvement. Use them to define where further research may be needed. Not sure why your average pages per session is two? Try conducting first-click testing; where are they heading that seems to be a dead end? Is your bounce rate too high? Conduct a content audit to find out if your information is still relevant, or look into navigation roadblocks. Whatever the question; keep searching for the answer.

User engagement metrics will keep you on your toes, but that’s a good thing. They empower you to make ongoing website improvements and ensure that users are at the heart of your website design. 

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1 min read

Different ways to test information architecture

We all know that building a robust information architecture (IA) can make or break your product. And getting it right can rely on robust user research. Especially when it comes to creating human-centered, intuitive products that deliver outstanding user experiences.

But what are the best methods to test your information architecture? To make sure that your focus is on building an information architecture that is truly based on what your users want, and need.

What is user research? 🗣️🧑🏻💻

With all the will in the world, your product (or website or mobile app) may work perfectly and be as intuitive as possible. But, if it is only built on information from your internal organizational perspective, it may not measure up in the eyes of your user. Often, organizations make major design decisions without fully considering their users. User research (UX) backs up decisions with data, helping to make sure that design decisions are strategic decisions. 

Testing your information architecture can also help establish the structure for a better product from the ground up. And ultimately, the performance of your product. User experience research focuses your design on understanding your user expectations, behaviors, needs, and motivations. It is an essential part of creating, building, and maintaining great products. 

Taking the time to understand your users through research can be incredibly rewarding with the insights and data-backed information that can alter your product for the better. But what are the key user research methods for your information architecture? Let’s take a look.

Research methods for information architecture ⚒️

There is more than one way to test your IA. And testing with one method is good, but with more than one is even better. And, of course, the more often you test, especially when there are major additions or changes, you can tweak and update your IA to improve and delight your user’s experience.

Card Sorting 🃏

Card sorting is a user research method that allows you to discover how users understand and categorize information. It’s particularly useful when you are starting the planning process of your information architecture or at any stage you notice issues or are making changes. Putting the power into your users’ hands and asking how they would intuitively sort the information. In a card sort, participants sort cards containing different items into labeled groups. You can use the results of a card sort to figure out how to group and label the information in a way that makes the most sense to your audience. 

There are a number of techniques and methods that can be applied to a card sort. Take a look here if you’d like to know more.

Card sorting has many applications. It’s as useful for figuring out how content should be grouped on a website or in an app as it is for figuring out how to arrange the items in a retail store.You can also run a card sort in person, using physical cards, or remotely with online tools such as OptimalSort.

Tree Testing 🌲

Taking a look at your information architecture from the other side can also be valuable. Tree testing is a usability method for evaluating the findability of topics on a product. Testing is done on a simplified text version of your site structure without the influence of navigation aids and visual design.

Tree testing tells you how easily people can find information on your product and exactly where people get lost. Your users rely on your information architecture – how you label and organize your content – to get things done.

Tree testing can answer questions like:

  • Do my labels make sense to people?
  • Is my content grouped logically to people?
  • Can people find the information they want easily and quickly? If not, what’s stopping them?

Treejack is our tree testing tool and is designed to make it easy to test your information architecture. Running a tree test isn’t actually that difficult, especially if you’re using the right tool. You’ll  learn how to set useful objectives, how to build your tree, write your tasks, recruit participants, and measure results.

Combining information architecture research methods 🏗

If you are wanting a fully rounded view of your information architecture, it can be useful to combine your research methods.

Tree testing and card sorting, along with usability testing, can give you insights into your users and audience. How do they think? How do they find their way through your product? And how do they want to see things labeled, organized, and sorted? 

If you want to get fully into the comparison of tree testing and card sorting, take a look at our article here, which compares the options and explains which is best and when. 

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