Use AI to quickly turn your raw user interview notes into a clear, actionable summary in minutes.
When you finish user interviews, you usually have long, scattered notes that take time to organize. This workflow helps you speed up turning those notes into a clear summary you can share or use for decisions. Instead of manually sorting through everything, you use AI to quickly identify key themes, quotes, and action points. This saves hours each week and keeps feedback easy to understand and act on. 1. Gather all your raw interview notes in one place, even if they’re messy or incomplete. 2. Copy and paste the notes for one interview into ChatGPT or Claude and ask it to summarize the main feedback points clearly. 3. Repeat for each interview, then combine the AI summaries into one document. 4. Ask AI to identify common themes and group similar feedback together. 5. Request a list of clear action items based on these themes, focusing on what you should prioritize. 6. Review the AI-generated summary and action points, then edit lightly if needed before sharing or using it to plan next steps.
Try this prompt today
“Act as a product manager summarizing user interview notes. Here are the raw notes: [paste your interview notes]. Please provide a clear, concise summary of the key feedback points, highlight common themes, and suggest actionable next steps based on this feedback.”
March 12, 2026
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