AI UX Research Prompts

Create a user interview script for researching [topic/feature]. Research goal: [what you want to learn]. Participant profile: [describe]. Include: warm-up questions, 8-10 core questions (open-ended, non-leading), follow-up probes for each question, a task or scenario for them to walk through, and closing/debrief questions. Budget 45 minutes. Mark which questions are highest priority.

Analyze these user interview transcripts: [paste transcripts]. Extract: common themes across participants, direct quotes that illustrate each theme, pain points ranked by frequency and severity, unmet needs (stated and implied), and surprising findings that challenge our assumptions. Create an affinity map structure. Note where participants disagree.

Design a survey to measure [research objective]. Audience: [describe]. Include: 3 screening questions, 10 core questions (mix of Likert, multiple choice, and open-ended), a Net Promoter Score question, and 2 demographic questions. Avoid: leading questions, double-barreled questions, and jargon. Optimize for a 5-minute completion time. Explain why each question is included.

Create a usability test plan for [product/feature]. Goals: [what you want to evaluate]. Create: 5 task scenarios (realistic, not leading), success criteria for each task, what to observe and measure (time, errors, confusion points), a post-task questionnaire, and a debrief discussion guide. Include a moderator script for the introduction and transitions.

Build a research-backed persona from this data: [paste interview notes, survey results, or analytics]. Include: demographic summary, goals and motivations (with supporting quotes), pain points and frustrations, current behavior and workarounds, technology comfort level, and a "day in the life" scenario. Base everything on actual data, not assumptions. Flag where data is thin.