Use AI to turn messy user interview notes into clear themes, insights, and actionable next steps quickly.
When you finish user interviews, you often have a lot of scattered notes that need organizing. Instead of sorting through them manually, you can copy all your raw notes into ChatGPT or Claude and ask it to group key points into themes, highlight surprising insights, and suggest what you should focus on next. This saves hours of reading and makes your research reports sharper. For even better results, give the AI some context about your research goals and user group before pasting your notes. You can then refine the output by asking the AI to help you turn those themes into concise bullet points or short paragraphs for your presentations or reports.
Try this prompt today
“Act as a UX researcher. I will paste raw user interview notes from multiple sessions about a mobile app. Please group the main points into 3-5 key themes, highlight any surprising or important insights, and suggest 2-3 actionable next steps based on what users said.”
January 6, 2026
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