How to Conduct User Research: A Step-by-Step Guide

Published on 4 Feb 2025

User research is a fundamental part of UX Design, ensuring that products meet user needs and provide a seamless experience. Understanding user behaviors, needs, and pain points helps designers create intuitive solutions. This guide walks you through how to conduct user research, from planning to execution, using the best user research methods.

What is User Research?

User research is the process of understanding user needs, behaviors, and pain points to inform design decisions. It is an essential part of user-centered design, ensuring products and services align with user expectations. By applying various UX research methods, designers gain insights that lead to more intuitive and user-friendly designs.

User research can be categorized into two main types:

• Qualitative research: Focuses on understanding user motivations, pain points, and behaviors through interviews, observations, and usability tests.

• Quantitative research: Involves numerical data collection, such as surveys and A/B testing, to identify trends and patterns.

Step 1: Define Your Research Goals

Before conducting research, determine what you need to learn. Are you improving usability, validating a concept, or understanding user behavior? Clearly defined goals will help you choose the right UX research methods and ensure meaningful insights.

Difference Between Qualitative and Quantitative Research in UX

As a beginner in the UX research field, it's essential to understand the difference between qualitative and quantitative research methods. Both approaches play crucial roles in product development, but they serve distinct purposes and provide different types of insights.

Qualitative Analysis vs Quantitative Analysis

Quantitative analysis focuses on numerical data, providing concrete, measurable insights. It's concerned with the "what" and "how many" aspects of user behavior. For example, quantitative research might investigate how many users click on a specific button or how long it takes for a page to load.

On the other hand, qualitative analysis explores subjective characteristics and opinions, delving into the "why" and "how" aspects of user behavior. It's concerned with understanding users' thoughts, feelings, and experiences. Qualitative research might investigate why users prefer a particular feature or how they perceive the overall user experience.

Defining Qualitative Research

Qualitative research is the process of collecting, analyzing, and interpreting non-numerical data, such as language, text, video, photographs, or audio recordings. This approach helps researchers understand how individuals subjectively perceive and give meaning to their social reality. In UX research, qualitative methods are used to gain a deeper understanding of users' needs, motivations, and behaviors.

“There are also unknown unknowns, things we don’t know we don’t know.”

— Donald Rumsfeld, Former U.S. Secretary of Defense

Key Characteristics of Qualitative Research:

• Non-numerical data: Qualitative research focuses on collecting and analyzing non-numerical data, such as text, images, or audio.
• Subjective insights: Qualitative research provides subjective insights into users' thoughts, feelings, and experiences.
• In-depth understanding: Qualitative research aims to gain a rich, in-depth understanding of users' perspectives and behaviors.
  
  

When to Use Qualitative Research:

• When you want to understand users' motivations, needs, and behaviors in-depth.
• When you need to explore complex, nuanced issues that can't be reduced to numbers.
• When you want to gather rich, contextual data that provides a detailed understanding of users' experiences.
  
  

Defining Quantitative Research

Quantitative research is the process of collecting, analyzing, and interpreting numerical data, such as statistics, metrics, or survey responses. This approach helps researchers understand patterns, trends, and relationships within large datasets. In UX research, quantitative methods are used to identify areas for improvement, measure the effectiveness of design changes, and track user behavior over time.

“Quantification clarifies issues which qualitative analysis leaves fuzzy. It is more readily contestable and likely to be contested. It sharpens scholarly discussion, sparks off rival hypotheses, and contributes to the dynamics of the research process.”

— Angus Maddison, Notable scholar of quantitative macro-economic history

Key Characteristics of Quantitative Research:

• Numerical data: Quantitative research focuses on collecting and analyzing numerical data, such as statistics, metrics, or survey responses.
• Objective insights: Quantitative research provides objective insights into user behavior, free from personal biases or interpretations.
• Large-scale analysis: Quantitative research allows for the analysis of large datasets, enabling researchers to identify patterns and trends that may not be apparent through qualitative research alone.
  
  

When to Use Quantitative Research:

• When you want to measure the effectiveness of design changes or track user behavior over time.
• When you need to identify areas for improvement or optimize existing features.
• When you want to analyze large datasets to uncover patterns and trends that inform product decisions.
  
  

Conclusion

In conclusion, qualitative and quantitative research methods serve different purposes in UX research. While qualitative analysis provides subjective, in-depth understanding of users' thoughts, feelings, and experiences, quantitative analysis offers objective, measurable insights into user behavior. By understanding the differences between these approaches, you'll be better equipped to choose the right method for your research goals and provide valuable insights that inform product development.

What is Contextual Inquiry?

 

What is Contextual Inquiry? 

A contextual interview, or contextual inquiry, is a user research method specifically designed to provide insight into the environment or context in which a design will be used. A contextual interview session typically consists of a mix between a traditional user interview and observations of how the research participants use a product or service in the relevant context. 

Contextual inquiry is a user-centered research technique used in user experience (UX) design and product development. It involves observing and interviewing users in their natural environment, while they are using a product or performing a task related to the product, in order to understand their needs, goals, and behaviors. 

During a contextual inquiry, the researcher may ask questions about the user's thought process and decision-making, observe how the user interacts with the product or the environment, and take note of any challenges or pain points the user encounters. The goal of contextual inquiry is to gain a deep understanding of the user's experience with the product or task, in order to identify areas for improvement and develop solutions that better meet the user's needs. Contextual inquiry is often used in conjunction with other UX research methods, such as surveys, usability testing, and focus groups, to gain a comprehensive understanding of the user experience. It is particularly useful for designing products that are intuitive and easy to use, as well as for identifying new opportunities for innovation.

The Four Principles of Contextual Inquiry 

As mentioned by Interaction Design Foundation in an article "Contextual Interviews and How to Handle Them" below are the four principles of CI:

Context – as you might expect, the interview must take place in the context of use. Typically this has been in a workplace or home environment but with the advent of mobile internet – contextual interviews may now take place in a wider range of settings and scenarios. The research observes the use of the product and talks to the user about what has happened in the observed session. They may also explore previous interactions which are not observed at the time. 

Partnership – there is a need for the user and researcher to form a collaborative partnership to understand what the user is doing and why. In general a contextual interview will shift from observing to discussing what happened in rapid shifts throughout the interview. 

Mutual interpretation – the researcher will explain their conclusions and interpretations with the user throughout the interview. The user is free to correct or expand on the researchers interpretations. 

Focus – the researcher must keep the interview focused on the topics which need to be explored to provide useful data for the improvement project’s scope. They may ask the user to perform specific tasks if they are to be examined specifically in the project brief.

Benefits of Contextual Inquiry: 

Contextual inquiry is a beneficial research technique in UX design because it provides rich, detailed insights into the user's behavior, needs, and motivations. By observing users in their natural environment, designers can gain a more complete understanding of how the product fits into their daily lives, and what they really need from it. Here are some specific benefits of using contextual inquiry in UX design: 

1. Identifying user needs: By observing users in their natural environment, designers can identify the users' pain points, challenges, and unmet needs. This can help designers to create a product that better meets the user's needs, rather than just assuming what those needs are. 

2. Testing assumptions: Designers may have assumptions about how users interact with the product, but by observing them in their natural environment, they can test those assumptions and refine their understanding of the user's behavior. 

3. Understanding context: Contextual inquiry allows designers to gain a deeper understanding of the user's environment and how the product fits into it. This can help designers to design a product that is more intuitive and fits seamlessly into the user's life. 

4. Developing empathy: By observing users and understanding their challenges and needs, designers can develop empathy for the user, which can help them to design a product that truly meets the user's needs and enhances their experience. 

Closing thoughts, Contextual inquiry is a valuable tool in the UX designer's toolkit, helping to create products that are more intuitive, usable, and enjoyable for the user.

Further reads: 

Contextual interview, or contextual inquiry by Interaction Design Foundation 

Contextual Interviews and How to Handle Them by Interaction Design Foundation 

Contextual Interview by Usability.gov 

Why Are Contextual Inquiries So Difficult? by UX Matters

Tags: UX Research, User Research, Research Methods, Contextual Inquiry

Card sorting data analysis - Qualitative & quantitative ways

Card sorting is a method used to help design or evaluate the information architecture of a site. In a card sorting session, participants organize topics into categories that make sense to them and they may also help you label these groups. To conduct a card sort, you can use actual cards, pieces of paper, or one of several online card-sorting software tools. Card sorting helps us gain valuable insight about the structure of data. Know more 

There are some ways which UX researchers or designers can use to analyse the card sorting data and bring clear insights which helps in decision making. 

Card Sorting Data Analysis

Qualitative analysis

While conducting the card sorting activity in-person or remotely using moderated sessions, the notes & observation is considered as qualitative data. Qualitative analysis is helpful in understanding the schema of target participants and their thinking process. This gives high level idea about the trends & themes emerging from the sessions, which should be supported with quantitive data to bring clear insights. Hot picks in this kind of analysis is the new categories created by participants, top confusing cards, terminology issues, similar groups or card categories etc.

Quantitative analysis

1. Using spreadsheet (frequency & percentage)

Create a spreadsheet, listing the cards in the rows and the categories in the columns. From card sort’s results, determine how participants grouped the cards into the categories, then add the raw counts to the spreadsheet. Later replace the raw counts with percentages. Each percentage is the number of participants who sorted certain cards into a particular group divided by the total number of participants. Once you’ve calculated the percentages, keep only the percentages that are substantial enough to take into serious consideration. 

2. Using online tool

If you are using any online card sorting tools, they provide initial level analysis which are helpful in looking the data from a different perspective. Some of the most common type of analysis are as below:

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Similarity Matrix: The similarity matrix is a simple representation of pair combinations, intended to give you a quick insight into the cards your participants paired together in the same group the most often.  Ref

OptimalSort’s Similarity Matrix 

Dendograms: A dendrogram is a diagram that shows the hierarchical relationship between objects. It is most commonly created as an output from hierarchical clustering.  Ref

AAM Dendrogram in OptimalSort

Check top Card sorting tools 

References:

Card Sorting - Interaction Design foundation 

Dancing with the Cards: Quick-and-Dirty Analysis of Card-Sorting Data

The Pros and Cons of Card Sorting in UX Research

What is Information Architecture

7 best card sorting tool

How do you go about performing UX research?

User-experience research methods are excellent for generating data insights, and continuing efforts aid in getting the job done. The UX research serves as a foundation for the UX design process. Various UX strategies can maintain product development efforts on pace, in accordance with genuine user requirements rather than fictitious ones, at any and every level of the design process. We can't picture design without conducting research, and we can't fathom it at all. UX research has always been essential for double-checking pre-made assumptions, validating facts, and proposing modifications.

Why do you exactly need UX research?

• Increases the product's worth
• During brainstorming and post-design, it saves a lot of time and money.
• Helps you to develop design ideas that are quite useful to users and simple to use.
• Ensures that users are able to execute their activities without committing blunders.
• Reduces your product's training curves by making it easier and faster to understand and use.
• It will assist you in estimating the return on investment (ROI)
• Allows you to discover early adopters.
• Ensures that your hypotheses are accurate.
• Helps to understand about your competitor’s products
• Also, UX research can be conducted at any phase of the process, so that's a bonus!

Let us look at the elements of UX research 

 

Qualitative Research

Qualitative research is the procedure of collecting as well as analysing non-numerical data in order to gain a better grasp of user perspectives and motives, as well as to generate a thorough comprehension of an issue. Rather than guessing over causation, qualitative information allows you to make correct, educated decisions for your users. Acquiring this psychological or empathic data could make it much simpler for consumers to invest in product modifications.

Quantitative Research

Quantitative research is the procedure of gathering and analysing numeric data in order to uncover patterns or statistics, as well as evaluating data points for providing quantitative outcomes. Qualitative research has identified the most critical design concerns, detects usability flaws, and aids in the discovery of potential solutions during the design process.

“When should I start conducting user research for my new project?” is among the most often asked concerns. There are three possible responses:

• Conduct user research at whichever stage you're at.
• Conduct user research at any and every stage of the process.
• Conduct the majority of user research earlier on in the project (when it would have the greatest impact).

What is triangulation in User Research (UX research)?

What is Triangulation 

One of the biggest challenge or doubt for any research project is to bring confidence levels in research findings & insights. To increase confidence in to insights researchers often use a technique called ‘Triangulation’, which is nothing but to gather the insights from multiple methods or ways for the same research question(s). According to Wikipedia - triangulation refers to the application and combination of several research methods in the study of the same phenomenon. By combining multiple observers, theories, methods, and empirical materials, researchers hope to overcome the weakness or intrinsic biases and the problems that come from single method, single-observer, and single-theory studies. 

The term ‘triangulation’ originates in the field of navigation where a location is determined by using the angles from two known points. Triangulation can be used in both qualitative studies & quantitative studies and popularily used in Sociology. The purpose of triangulation in qualitative research is to increase the credibility and validity of the results.

Triangulation is an analysis technique used in multi-method research designs. Many research projects utilize more than one data collection method, leading to the development of different datasets. Datasets might be those collected from a quantitative survey or participant observation, for example. The results from the datasets are analyzed independently, but they also need to be compared to each other in some way. How they are compared depends on the methodological framework used. Triangulation is one technique to combine datasets, and three different kinds of triangulation can be distinguished: convergence, complementarity, and divergence or dissonance.  (International Encyclopedia of Human Geography, 2009)

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Types of triangulation 

1. Data triangulation: involves time, space, and persons. 

2. Investigator triangulation: involves multiple researchers in an investigation. 

3. Theory triangulation: involves using more than one theoretical scheme in the interpretation of the phenomenon. 

4. Methodological triangulation: involves using more than one method to gather data, such as interviews, observations, questionnaires, and documents.

Triangulation in UX research (user research) 

Triangulation involves using several data collection techniques in order to validate findings. For example, instead of performing solely qualitative interviews for data collection, add focus group sessions, collection of documents, and/or collection of personal journal entries from participants. These additions bolster the quality of your findings. (Cheryl Patton, PhD). According to NNgroup’s article on Triangulation in UX research - Triangulation means looking at a question from a different point of view, which lets you see part of the answer that wasn’t previously apparent. You’ve probably done this many times in your everyday life — when you asked someone else’s opinion about a situation, hoping that a different point of view will reveal something that wasn’t obvious to you. In UX research, to triangulate the findings one can combine the research methods and support the findings by doing comparison analysis. Also one can relook at the historic (previous research) and triangulate with present findings using comparison. Having said that for referencing the previous or historic research, consider the insights validity in to account.

References

https://en.wikipedia.org/wiki/Triangulation_(social_science) 

https://ebn.bmj.com/content/16/4/98 

https://www.sciencedirect.com/topics/social-sciences/triangulation 

https://www.nngroup.com/articles/triangulation-better-research-results-using-multiple-ux-methods/