Use AI to quickly turn scattered user interview notes into a clear, actionable summary in minutes.
When you finish a user interview, you often have lots of scattered notes that take time to organize. This workflow helps you speed up turning those raw notes into a clear summary you can share or reference later. Use AI to extract key points, group insights by theme, and highlight actionable items all at once. It saves you time and helps you spot patterns faster. 1. Gather all your raw user interview notes in one place, even if they’re messy or incomplete. 2. Paste the notes into ChatGPT or Claude and ask it to identify the main user needs, pain points, and positive feedback. 3. Ask the AI to group these insights into 3-5 clear themes or categories. 4. Request a bullet-point list of action items or recommendations based on the user feedback. 5. Review the AI’s summary for accuracy and tweak any wording to fit your style. 6. Use this summary to speed up your product discussions or to write user research reports without starting from scratch.
Try this prompt today
“Act as a product manager. Here are my raw user interview notes: [paste notes]. Summarize the main user needs, pain points, and positive feedback. Group these into 4 clear themes and provide a bullet list of recommended next steps based on the feedback.”
March 22, 2026
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