Articles about user research.
Tools and strategies modern teams use to ship better products, written by the User Evaluation team.
AI Interview Software Compared: A 2026 Buyer's Guide
AI interview tools all promise depth at scale, but they differ in the ways that matter most. Here is what to actually evaluate when buying AI interview software for research in 2026, with the features that separate a good tool from a demo.
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Thematic Analysis With AI: A Step-by-Step Workflow
AI now powers most qualitative analysis, cutting the time to code transcripts and find themes by more than half. Here is a step-by-step workflow for doing thematic analysis with AI in 2026, and how to use it without letting the model hallucinate your insights.
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Research Democratization Done Safely: Letting PMs and Designers Run Studies
More non-researchers are running studies than ever, and without guardrails that means more biased, sloppy research. Here is how to democratize user research in 2026 without lowering the quality bar, using guidance, guardrails, and oversight.
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Voice AI Interviews: How to Run Qualitative Research at Scale
Voice AI can now conduct natural, spoken interviews with hundreds of participants at once. Here is how voice-based AI interviews work, why naturalness finally crossed the line, and how to use them to run deep qualitative research at survey scale.
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How to Prove the ROI of UX Research in 2026
Proving research ROI is the number one challenge researchers name in 2026. Here is a practical framework for tying research to business outcomes, calculating its return, and making the case in the language executives actually care about.
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The State of AI in UX Research 2026
AI use in user research jumped to 69% in a single year, research became central to business strategy, and non-researchers are running studies. Here is what the 2026 data says about where UX research stands and where it is heading.
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How to Run an Unmoderated Usability Test, Start to Finish
Unmoderated usability testing lets you watch dozens of people use your product on their own time, at a fraction of the cost of moderated sessions. Here is the full step-by-step process for 2026, with task-writing rules, metrics, and a reusable template.
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How to Write Screener Questions That Filter the Right Participants
The wrong participants ruin a study before it starts. A good screener filters for the people whose behavior matches your real users, without tipping them off or biasing the sample. Here are the rules for writing screeners that actually work.
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Synthetic Users vs Real Participants: What the 2026 Research Actually Shows
Synthetic users promise research without recruiting. The 2026 evidence is blunt about where they fail and where they genuinely help. Here is what Nielsen Norman Group and others found, and how to use AI-generated respondents without fooling yourself.
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