Spend less time tagging transcripts and more time understanding people.
Get the UX Researcher briefIn 2026, AI handles much of the heavy lifting in interview transcription, qualitative coding, and theme clustering that used to take days. UX Researchers now use it to draft discussion guides, summarize survey open-ends, and turn raw notes into structured findings. The role is shifting toward asking sharper questions and judging which insights actually matter.
Paste these into Claude or ChatGPT and replace the bracketed parts with your own details.
Draft a 45-minute semi-structured interview guide for a study about [research topic] with [user type]. Include a warm-up, 6 to 8 open-ended questions, and 2 follow-up probes per question. Avoid leading or yes/no phrasing.Summarize this interview transcript into the top 5 themes, with 2 supporting quotes per theme and any contradictions you notice. Transcript: [paste transcript].Here are [number] open-ended survey responses about [topic]. Group them into 5 to 8 categories, count responses per category, and flag any responses that don't fit. Responses: [paste responses].Turn these research findings into 4 prioritized, actionable recommendations for a product team. For each, note the user problem, the suggested change, and the expected impact. Findings: [paste findings].Review these interview questions and flag any that are leading, double-barreled, or assume a behavior. Suggest a neutral rewrite for each. Questions: [paste questions].The full library of tools, prompts, and tricks for your role — updated every week. Tap any card for a step-by-step walkthrough and examples.
One AI tool, one prompt, and one trick for UX Researchers, every weekday morning. Free.