20 Years of UX Research
Benchmarking the user experience of apps & websites.
What We Offer
Everything you need for world-class UX research.
A complete UX research solution: powerful software, proven methodologies, and expert support when you need it.
MUiQ® Platform
Essentials and enterprise-level research software suite for UX benchmarking. Measure intelligently, decide faster.
- Moderated & Unmoderated Studies
- Desktop & Mobile Testing
- Tasks & Conditions
- Real-time Dashboards
UX Research Services
Custom research solutions tailored to your specific needs.
- Full-Service UX Research
- In-House Laboratories
- Global Participant Recruitment
- Advanced Statistical Analysis
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Training & Resources
Build your expertise with our vast library of research knowledge and methodologies.
- MeasuringUniversity™ Courses
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Helping some of the world's best known brands measure and improve the user experience.
About MeasuringU®
Empowering teams to become UX leaders.
For over 20 years, we've been partnering with organizations to establish rigorous, evidence-based UX research practices. Our platform combines validated methodologies with cutting-edge technology to help teams make confident, data-driven decisions.
Whether you're just starting your UX journey or scaling an established practice, we provide the tools, expertise, and support to elevate your research capabilities and drive meaningful business outcomes.
Real Results
Research that delivers.
See how teams are accelerating their research with MeasuringU and MUiQ.
Quantitative Expertise
"The built-in quantitative analysis alongside the ability to use question logic is wonderful."
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Powerful Insights
"Simple, intuitive, yet powerful and reflects what professionals need in a testing platform."
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World-class Support
"The support team at MUiQ is the best team I have worked with."
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Featuring MUiQ®
A UX research platform that scales with your maturity.
Choose the plan that fits your team's needs and budget.
Start measuring what matters.
Everything you need for standardized UX benchmarking.
- Unmoderated usability testing (web & mobile)
- Benchmark studies & validated UX metrics (SUPR-Q®, UX-Lite®)
- Think-aloud studies & surveys
- A/B tests & custom study templates
Accelerate UX research across your organization.
Advanced tools for enterprise UX teams.
- Everything in the Essentials Plan
- IA & taxonomy testing (card sorts, tree tests, click tests)
- Kano analysis & website intercepts
- Moderated research sessions
Services
Reducing the friction of execution.
We provide full-service research using the MUiQ Platform. From study design through analysis and reporting, whether remote or in our Denver laboratories, we handle the complexity so you can focus on insights.
- Custom study design
- Global participant recruitment
- Participant screening
- In-house laboratories
- Expert research guidance
- Advanced statistical analysis
Resources
Setting the standards of UX practice.
Access the resources that have trained thousands of UX professionals worldwide.
Statistically validated questionnaires, calculators, and databases.
- SUPR-Q® & SUPR-Qm®
- UX-Lite® & SEQ®
- NPS, SUS, & Usability Stats
- Licensing & Downloads
Statistical tools for UX research analysis and planning.
- Comparison Calculators
- Confidence Calculators
- Graph Calculators
- Sample Size Calculators
A library of knowledge for UX measurement.
- MeasuringUPress™ Books
- Peer-Reviewed Publications
- Industry Benchmark Reports
- Blog Articles & Insights
Blog
Latest from our research experts.
Methodologies, industry insights, and best practices.
A Review of Experiments with Synthetic Users
One of the hardest parts of conducting user and market research is recruiting participants. It takes time, costs money, and on top of that, there are no-shows and fraudsters. Now imagine being able to conduct UX research without the hassle of recruiting the “U.” Enter the idea of AI-generated synthetic users that offer the promise of participant input being: Simpler (no need to deal with humans) Less costly (no panel/respondent fees) Faster (finish in hours or days instead of weeks
Credible vs. Confidence Intervals: Different Meanings but Similar Decisions
We’ve written a lot about confidence intervals for the last two decades. We especially encourage them for small sample studies. Some of you even bought into our recommendation and use them yourselves (a decision we continue to support). But maybe you’ve heard about Bayesian credible intervals and wonder if you should be using them instead. In this article, we return to an example used in our previous articles on Bayesian methods applied to UX research and compare analyses of that
Bayes’ Law in UX Research:
The Power and Perils of Priors
“That confirms what I expected.” The same data, two different conclusions. A 90% completion rate from 20 participants on a usability test of a checkout flow. Is that completion rate better than the historical average of 78%? One researcher says yes, definitely. Another says no, it’s in line with the historical average. Both are using the same Bayesian method. How can the same data produce opposite conclusions? The answer lies in priors, the assumptions you bring to the analysis before