Use AI to quickly turn scattered user feedback into concise, prioritized product improvement ideas.
When you collect user feedback from multiple sources—surveys, interviews, support tickets—it can be overwhelming to sift through and decide what to focus on next. This prompt helps you speed up that process by asking AI to summarize, group, and prioritize feedback based on impact and frequency. It saves you hours of manual sorting so you can make faster, smarter product decisions.
Try this prompt today
“Act as a product manager expert. I will provide you with a list of raw user feedback snippets from surveys, interviews, and support messages. Please do the following: 1) Summarize each piece of feedback in one clear sentence. 2) Group similar feedback points into clear themes or categories. 3) Prioritize these themes by frequency and potential impact on user experience. 4) Provide a short explanation for why each theme should be prioritized. Here is the user feedback: [Paste your raw user feedback here]”
March 7, 2026
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