Use AI to deeply analyze user feedback, cluster ideas, and generate prioritized feature insights.
When you have lots of user interview notes or feedback, AI can help you go beyond simple summaries. First, paste all your raw feedback into the AI and ask it to group similar points or themes together. This clustering reveals common pain points or wishes that you might miss scanning on your own. Next, ask the AI to rank these themes by impact or frequency, helping you see which issues matter most to users. Finally, have the AI suggest feature ideas or product improvements based on these prioritized themes, so you can confidently focus your roadmap on what users truly want. This multi-step approach saves time and gives you a clear, user-driven foundation for your product decisions.
Try this prompt today
“Act as a product manager analyzing user feedback. Here is a list of raw user interview notes: [paste your notes]. First, group these notes into common themes or problems. Then, rank these themes by how often they appear or their potential impact. Finally, suggest 3 feature ideas or improvements for the product based on the top 3 themes.”
January 7, 2026
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