Use AI to turn raw user interview notes into clear themes, insights, and actionable next steps in one prompt.
To save time analyzing user interviews, gather all your raw notes or transcripts into one document. Then, ask ChatGPT or Claude to read through and identify common themes, surprising findings, and key pain points. You can also request a clear summary that highlights what users really want or struggle with, plus suggestions for design improvements based on those insights. This approach combines several steps—reading, organizing, and interpreting—into a single, easy interaction, freeing you to focus on design decisions instead of manual note sorting. If you want, you can follow up by asking for a structured report or bullet points to share with your team or stakeholders.
Try this prompt today
“Act as a UX researcher. I will paste user interview notes from 5 sessions. Please read them all, identify common themes and key user frustrations, and provide a clear summary of insights with 3 actionable recommendations for improving the design.”
January 7, 2026
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