Your ideal user research tool for data analysis

Identify hidden customer opportunities with user research tools that make your analysis workflow faster and easier than ever. Rely on ATLAS.ti for user research, UX research, or any qualitative research for powerful market insights and intelligence for business professionals.

User research tools for rapid and deep insights

Where is your prototype or product struggling? Analytics tools in ATLAS.ti empower you to conduct research studies and unlock qualitative findings that can help you scale your business. Our proven research platform is built to transform all your data into actionable insights.

Dive deep into user's minds and adapt your products

Qualitative research software should help you paint a narrative about what your customers want. ATLAS.ti is designed to give you deep insights into motives, behaviors, and emotions driving your customers to take action. Get to know your users, and then adjust your product to fit their needs.

Save time and get the answers you need

Take the guesswork out of designing solutions, products, or services that your users actually want. ATLAS.ti enables you to intuitively analyze data and present your findings with meaningful visualization that informs the decision-making across your organization.

ATLAS.ti boasts many benefits including intuitive design. But its customer service really is what wins them the gold star. Especially for those who are not too technologically savvy, ATLAS.ti is the software that will have the patience to deal with you!
Cristina Parajon
Sociology student, Harvard University
ATLAS.ti is the easiest and most comfortable software to use for coding qualitative data.
Svetlana Poleschuk
PhD, Education Researcher, UNICEF
Qualitative data offers great value in really understanding the context for any research endeavour, and ATLAS.ti is the go-to software to pull analyses together in a systematic way.
Prof. Michelle J. Hindin
Founder and Director - Evidence 4 Global Impact, LLC
I want to say thank you for helping me today. With your help I am now able to use ATLAS.ti easier to finish my dissertation. Again, I want to say thank you. The ATLAS.ti support is by far the best support I have ever received from a software company
Nicholas Belongie, PhD
Nicholas Belongie, PhD - University at Buffalo, USA
The ATLAS.ti support desk helped me a great deal with several challenges in ATLAS.ti. On the way I learned how to solve issues in future! I can recommend working with ATLAS.ti and diving into its possibilities because you'll be surprised by what this fantastic analysis software can have you discover from your data!
Marieke De Wijse-Van Heeswijk
PhD researcher - Radboud University
I have been an ATLAS.ti user for over 20 years, and during that time the software has always been my first choice for qualitative research. ATLAS.ti continues to innovate and improve each year adding new features and benefits for its user community. I highly recommend it for your qualitative research.
Ken Riopelle
Research Professor, Wayne State University
ATLAS.ti has been a great tool for my PhD research which I have been using to analyze qualitative interviews from Ghana and Nigeria. It was the perfect solution, and we were happy to learn that we could collaborate with researchers in any country or institution without obtaining a special license.
Dr. Kwabena Kusi-Mensah
FWACP (Psych), MSc.CAMH (Ib.), PhD Candidate in Psychiatry, University of Cambridge
The Canadian Foundation for Animal-Assisted Support Services {CFAS} is a grateful recipient of the ATLAS.ti software. I have gradually learned more about using the software to share our charity's narrative, presentation content, and research project outcomes. ATLAS.ti staff have been highly supportive and patient with me as I continue to embark on this incredible journey of discovery.
Joanne Moss
CEO/Founder - The Canadian Foundation for Animal-Assisted Support Services {CFAS}
The ATLAS.ti organization has a strong support team available to researchers and the trainers are excellent. Their webinar presenters are world-class experts who show how ATLAS.ti can be used to analyze data from a wide variety of disciplines.
Dr. Karin Olson
PhD, RN, FAAN, Adjunct Professor, School of Nursing - The University of British Columbia
We are an early-stage startup building the world's first virtual clinic specialized in Team-Based Care. I used ATLAS.ti first in studies. Then I used it for my work at the World Health Organization. Now we are using it for many of our research activities at Consulto.
Basem Higazy
Co-founder and CEO of Consulto

User research software to help you unlock results that matter

Import and organize user data

Import and analyze any type of data – ATLAS.ti supports all standard text and transcription files such as Word and PFD, as well as audio and video recordings.

Analyze with ease and speed

Utilize easy-to-learn workflows that save valuable time, such as auto coding, sentiment analysis, team collaboration, and more.

Leverage AI-driven tools

Make efficiency a priority and let ATLAS.ti do your work with AI-powered research tools and features for faster results.

Visualize your research results

With just a few clicks, you can create meaningful visualizations like charts, word clouds, tables, networks, among others.

The faster and easier way to user research insights. Try it for free, today.

What is user research?

User research aims to understand the needs and behaviors of an organization's or company's users or customers.

Researchers employ user research for various purposes:

  • Determining customer satisfaction with a company's services
  • Developing products and services to suit customers' needs
  • Identifying issues in the user experience with a website or application
  • Collecting user feedback on new products during prototype testing

Researchers conducting this research might:

  • Test prototypes
  • Conduct remote testing
  • Hold in-person sessions on products
  • Improve online platforms with UX tools
What methods do researchers employ in user research?

User research involves numerous research methods:

  • Surveys
  • Interviews
  • Usability testing
  • Field studies
  • Tree testing

Researchers may also employ a user testing platform, a usability testing tool, or a platform that ensures remote usability testing to collect data. Participation tracking of new and existing users of products and services gathers data that can be analyzed to understand user insights.

Whatever the instrument, the most effective method for this research depends on the user experience researchers want to study. This may involve collecting both qualitative and quantitative data to understand the user experience from multiple angles.

An example

For example, suppose a company wants to optimize its website to make it more accessible to its customers. Research in this situation can help improve customer satisfaction with their online services.

In that case, it can employ usability testing and record the user's interaction with the website. However, surveys or interviews with those customers are more appropriate if the company wants to determine whether customers perceive its services to be effective.

How research is conducted

Companies and organizations interested in conducting user research or UX research can either conduct their own data collection to measure user behavior or employ third-party vendors like Optimal Workshop or Maze to collect data.

Either way, ATLAS.ti can aid business professionals and UX designers to help them analyze their data.

What is user research in product management?

Product management revolves around planning, developing, and marketing products. Knowing what customers need and want makes data collection on users an indispensable tool for product managers.

Having the target customers' perspectives in mind can help those involved in product management optimize their products or services and ultimately become more effective in generating more demand.

What other objectives can user research accomplish?

Besides answering questions related to product management, user research projects can examine the actual behavior of a researcher's target audience.

UX research (user experience research) evaluates the experiences users have with a product, a website, or a service like a collaborative dashboard or online platform to schedule meetings. Researchers pursue UX research when they want to optimize their own participants' interaction with a company or organization.

Some examples

For example, libraries with online databases can recruit participants to investigate how they can easily search for books. The research team identifying issues in the user experience with their online databases can minimize the time required to find the desired books and improve the perceived acceptability of library services.

User research can also discover insights regarding the customers that use a company's products or services. A product manager can make assumptions regarding, among other things, the age, income level, and education level of the most common customers of their products.

However, surveys conducted for user research may reveal that the company's actual customers belong to different demographic groups, requiring the product manager and their company to reconsider their product strategy.

What makes good user research?

Product developers, product managers, and service providers can often have different worldviews than the user.

Researchers encounter bias frequently during the research process, whether users adjust their interview answers to satisfy their interviewers or adjust their behavior while under observation during usability testing.

As a result, researchers should be skeptical of user research that relies on just one form of data.

Using multiple methods

One marker of the quality of user research is whether the insights a researcher draws from their inquiry can be commonly found across multiple forms of data. This objective requires the researcher to pursue numerous appropriate research methods for answering their research questions.

Still, it does make insights more compelling if they are found repeatedly, regardless of the research method. While this research traditionally uses a narrow set of methods and tools such as card sorting, tree testing, preference tests, and first-click testing, the range of methods can also include diary studies, group meetings, and moderated and unmoderated discussions.

Other considerations

Researchers may also be required to provide participant incentives for recruiting participants to engage in their research.

While this runs the risk of bias among users who are paid to engage in research, participant recruitment is a vital research tool to ensure the collection of all the data that is required.

What are some examples of good research?

For example, suppose a product manager is interested in what customers think of the ease of using a particular product. In that case, they may ask the same question in user interviews and surveys while observing users interact with the product.

Collecting multiple forms of data

Suppose the same issue (e.g., the learning curve required to use the product) appears across the data from multiple research methods.

In that case, the need to address the ease of use is more compelling than if only one interview respondent or one usability test participant was associated with the problem.

In such cases, UX research can benefit from research methods that gather user feedback by recruiting participants for online surveys, remote user interviews, prototype testing, and other methods that gather insights.

Ideal market research should test participants and gather their perspectives in the same study.

What data can I generate from user research?

Survey research can provide data that researchers can use in various ways. A survey can pose questions about their research participants' level of satisfaction with a company and perspectives about the quality of service they receive.

These questions can ask users to rate such concepts on a numerical scale that researchers can analyze quantitatively. Surveys can also ask open-ended questions (e.g., "What suggestions do you have for improving this service?") from which a qualitative analysis can identify frequently occurring themes and patterns in users' perspectives.

Text as data

Research methods such as user interviews generate data such as transcripts that researchers can analyze for patterns in respondents' opinions and perspectives. Text is the traditional form of qualitative data that ATLAS.ti can use to help researchers generate meaningful insights.

Video and audio as data

UX research can also produce data in the form of video recordings and field notes. For example, a user researcher can observe how a user interacts with a website to order a product.

That researcher can document what they see in their field notes, record video of the user's reactions while using the website, or use screen recording software to capture the user's actions. Text, audio, and video from UX research are valuable forms of data that ATLAS.ti can analyze.

How can I use ATLAS.ti to analyze data from user research?

Regardless of the method of data collection, the best user research tools can help you analyze all your research in numerous ways depending on your research questions and context. ATLAS.ti is a great tool to make sense of your qualitative data.

Analysis from coding

Researchers can code their data to see if common themes arise across different forms of user research on the same product or service. Using the document group feature in ATLAS.ti, researchers can categorize their documents by the type of method, such as interviews or usability tests.

The Code-Document Table tool then lets researchers see what issues or considerations appear in which groups. This sort of insight determines if there is a universally perceived issue or if a particular method has uncovered a problem that requires further study.

Content analysis

Interviews can also benefit from determining the most frequently used words and phrases through content analysis. The Word Cloud and Concepts tools in ATLAS.ti can analyze data for what words or phrases appear the most often.

Suppose a researcher is studying users' interaction with a smartphone application, for example. In that case, interviews with the users of the application can reveal the frequency of keywords like "convenient," "fast," or "accurate."

These insights can give the researcher an idea of how customers perceive their service.