UX Research Methods and Techniques

UX research methods are the family of experimental protocols design teams use to study users and test prototypes. They include everything from simple interviews to specialized scorecards, and can be either moderated (ex. interviews) or unmoderated (ex. surveys).

While conducting UX research should generally be left to experienced designers, every member of a Design Thinking team can benefit from a deeper appreciation of the established techniques and rich insights they provide.

For the sake of simplicity, this guide categorizes common UX research methods into three types based on the data they commonly provide: Quantitative, Qualitative, or Mixed.

The X-dimension separates methods based on what they are typically used to study: Either the situation as a whole (like a literature review or diary study), or the solution being created (like concept testing or an intercept survey). UX research methods are leveraged throughout the complete project cycle — they don’t end when the interviews are over.

The Y-dimension separates methods based on the type of data they typically output: Either more qualitative (like focus groups or concept testing), or more quantitative (like user surveys or A/B testing). Relying on only one type of data can be dangerous: Robust research projects should include a mix of both, as they provide different perspectives on the experience.

Typically, UX research methods are stacked together to create an overall UX research plan. That means that the selection of your methods is based on what stage of the plan you are in, and what questions you need to answer. Keep the following factors in mind as you browse the guide:

Related Guide

The Design Thinking Process

Go to Guide

Qualitative UX Research Methods are powerful sources of inspiration. They bring the voice of the customer directly into the design process, and answer critical questions about the goals and behaviors that solutions can support.

UX research methods in this section:

• User interviews
• Focus groups
• Diary studies
• Literature review
• Participatory design
• Remote walkthrough

User Interviews are the bread and butter of qualitative UX research methods. When designing user-centered solutions, there is no substitute for speaking with real users. While user interviews can take many forms and can integrate multiple methods (such as card sorting and concept testing), the quality of any interview is determined by the quality of its questions.

When planning user interviews, extreme care must be taken to develop questions that are most likely to make interviewees comfortable and actively engaged. If you have ever conducted user interviews before, you will appreciate how difficult this can be in formal settings.

Focus groups are like user interviews conducted with a group of 5-10 people at once. While they can help expedite the research process, they require significant planning and expert moderation to conduct effectively. Because of this, focus groups are typically conducted by research firms experienced at building group discussion guides that balance personalities and ensure all participants are able to share their feelings openly and evenly.

Diary studies are an ethnographic UX research method that provide rich qualitative insights. The basic premise of a diary study is to ask potential users to record their experiences in a diary, which is then collected by researchers upon completion.

Diary studies can be recorded as guided journal entries or photo essays, and typically aim to describe a “day in the life” of a particular person. Diary studies add a level of realism that can’t be achieved in controlled settings, and are a great way to gain the type of detailed insights that inspire genuine innovations. Note that due to their revealing nature, protecting user privacy is especially important to consider with this method.

Also called secondary or desk research, Literature Reviews are a method for exploring available information to gain context about a specific domain. While the rigor required varies with every solution, every design project is likely to benefit from at least a cursory review of existing research. When conducting literature reviews, it is critical to consider the credibility and bias of the source. Government statistics and peer-reviewed publications are typically the most robust sources, with surveys, articles and other sources requiring additional caution.

Participatory design is when teams integrate one or more users directly into their design process. This can be particularly helpful when designing enterprise solutions for specific roles, where deep domain knowledge is needed to appreciate the complexities of required tasks. It also helps to create external “champions” of the solution, who will then help train users and improve adoption.

While the benefit of having instant access to real user feedback can help remove bias and align teams, it is not without risks. The power of user personas is that they represent the collective goals and behaviors of target groups. Relying on n=1 comes with risks.

A remote walkthrough, also called a Touchstone Tour or simply “shadowing”, puts users in the driver seat as they walk design teams through their environment. For example, if you were designing a new video editing application, you may recruit current video editors to walk you through their daily tasks within the software. Thanks to modern video conferencing tools like Slack or Zoom, it’s easy to conduct and record remote walkthroughs alongside other ux research methods.

Today, digital “desire lines” are everywhere — but only if you know where to look. Whether you are improving an app used by millions, or building a service for select specialists, being able to parse big data into actionable insights is a mandatory skill for all UX researchers.

UX research methods in this section:

• Behavioral analytics
• User surveys
• Intercept surveys
• Click tracking
• Eye tracking
• A/B testing

Behavioral analytics help model how users are engaging with an existing system or solution. The process of determining which metrics are the best proxy for the experience, and what the current data says about the solution, is where this UX research method shines.

Typically, the analysis is completed by a core research team and shared with the broader cross functional team during design thinking workshops to inform and inspire ideas. Common behavioral metrics include bounce rate, conversion rate, time to completion, time on task, or other digital/physical desire lines.

Surveys are an established research method adopted by myriad disciplines to collect hard data from groups of people. Data are then analyzed by statistical methods to generate “significant” insights that are unlikely to be due to chance. The power to discern signal from noise is the product of the size of the survey sample: The more people you ask, the more confident the statistics will be.

Like user interviews, the quality of a user survey relies on recruiting the right people and asking the right questions. But unlike interviews, these questions need to be formatted in a way that can be answered using a sliding scale or multiple choice — at least until natural language processing simplifies the analysis of free-text responses.

related guide

How to Create a user persona

Go to Guide

Intercept surveys, also called feedback surveys, are a simplified form of user survey deployed in the wild where interactions occur. Intercept surveys are commonly found on websites and in emails, and can be as simple as asking “Was this information helpful?”. In practice, intercept surveys are best when limited to only a single question that is easy to understand and effortless to answer.

Click Tracking is a specialized ux research method that lets designers observe and analyze everywhere users click or tap when visiting a website. While digital marketers have been using scroll depth and CTA conversion rates for years, modern click-tracking tools like HotJar can now passively record real user visits and generate cumulative heat maps for your pages. These heat maps show where users are (and aren’t) clicking. In fact, HotJar will automatically generate three different layers of heat maps to capture all clicks, moves and scrolls. Together, these session-tracking maps help designers present findings to stakeholders and improve on-page conversions.

Eye tracking is a specialized UX research method that records where your test users are looking — not just where they scroll or click to. Unlike click tracking which can be installed on a live website, eye tracking studies require controlled settings with user opt-in. In the past, eye tracking was prohibitively expensive due to the technology required; however, accurate, webcam-based tools like Real Eye have greatly reduced the barrier to entry.

Today, eye tracking studies are frequently used as a form of unmoderated usability testing that participants can complete on their own time. This dramatically simplifies the logistics and reduces the guesswork in major decision decisions.

A/B Testing is a data-driven way to determine which of two (or more) options is the most effective at achieving a specific goal. A/B testing is used in a variety of industries, especially in digital marketing, where optimizing conversion rates is of critical importance. In user experience design, A/B testing can be used to optimize specific aspects of an existing solution, or to determine which of two designs to pursue.

Related Guide

This is User Experience Design

Go to Guide

Mixed UX Research methods can be used to generate human insights and hard data. They allow for both direct observation of user behaviors, while also generating data that can be subject to statistical analysis.

UX research methods described in this section:

• Heuristic evaluation
• Concept testing
• Tree testing
• Card sorting
• Usability testing

Heuristic evaluation is effectively a “pragmatic review” of a user experience by design experts. When applied formally, it uses a point-based scoring system akin to those used to judge athletic performances (like gymnastics or diving). Using predefined criteria and scorecards helps to reduce bias and make scalable decisions in situations where direct usability testing is not possible or necessary.

Of course, the quality of a heuristic evaluation is determined by the experience of the reviewers, and their ability to make unbiased judgements from a user’s point of view. Having a validated set of personas helps improve the output of a heuristic evaluation, and the same interfaces can (and should) be reviewed from the perspective of multiple user personas.

Concept testing is exactly that: Testing concepts/prototypes with users to see what they say. Concept testing is common when developing marketing campaigns or other mass-market creative ideas where it is difficult or impossible to predict how people will respond. Concept testing and usability testing are quite similar in this sense; however, concept testing is concerned with deciding which concept (or “big idea”) to pursue, while usability testing is conducted with high-fidelity designs to validate decisions or make minor improvements. Concept testing is commonly integrated with other techniques to streamline the research efforts, and can use card sorting and scorecards to support data-informed decisions.

Tree testing is a specialized UX research method for assessing how intuitive an information architecture is. In its simplest form, tree testing involves watching users interact with a prototype menu within a controlled setting (i.e., no content or visuals included, only the menu itself).

By prompting users to complete specific tasks by clicking through the menu (ex: Where would you go to find X or do Y), researchers can see how their architecture relates to their user’s mental models. This allows teams to optimize critical structural elements early in the design process, avoiding more expensive updates downstream.

Card sorting is a fundamental UX research method applied throughout the design process. In essence, card sorting is exactly that: Sorting a stack of cue cards that have words on them into piles that make sense to the sorter. For example, you may have a stack of 30 cards with the names of different foods on them.

If you asked someone to sort them into piles according to their most vs. least favorite items, you would learn more about their preferences than if you simply asked them their favorite foods. This basic card sorting theory can be applied to any situation, and augmenting the prompts and piles lets UX researchers answer a variety of questions about the opportunity.

Usability testing is used to assess how user friendly a higher-fidelity prototype is with your target users. Usability tests are typically used later in the design process, before shifting to the Implementation step of the design thinking process. Usability testing is conducted similar to other ux research methods such as Tree Testing or Card Sorting, where users are asked to complete specific tasks within a controlled environment.

Because usability testing is performed with fully functional prototypes (or the minimum viable product), UX researchers are able to benchmark quantitative metrics such as Time to Completion (TTC) in addition to other qualitative metrics. This makes usability testing a powerful tool for demonstrating business impact and deciding what areas to work on in future updates.

UX Research methods describe the established protocols and best practices designed to help teams understand users and improve real experiences. They range from simple surveys to rich ethnographic field studies, and furnish teams with the actionable insights they need throughout the development process.

While UX research methods were once confined to specialized labs, the rise of cloud-based solutions has dramatically simplified the methodologies and reduced the overhead. Today, teams of all sizes can leverage UX Research methods to improve their solutions