Articles about user research.
Tools and strategies modern teams use to ship better products, written by the User Evaluation team.
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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Continuous Discovery with AI: From Project-Based to Always-On Research
Continuous discovery asks teams to talk to customers every week, all year. For most teams that was impossible to sustain. AI is what finally makes always-on research practical. Here is how to set up a continuous discovery loop that survives release pressure.
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AI-Moderated vs Human-Moderated Interviews: A Decision Framework
AI moderators are fast, cheap, and consistent. Human moderators bring empathy and judgment. Here is a practical framework for deciding which one to use for a given study, with the cost, speed, and quality tradeoffs laid out.
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What Are AI-Moderated Interviews? How They Work and When to Use Them
AI-moderated interviews let an AI agent run adaptive, one-on-one conversations with real participants at scale. Here is how they work, what the research shows, and when to use them instead of a human moderator.
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