Combine multiple related user feedback notes into a single prioritized insight faster with AI.
When you have many user interview notes or feedback snippets, manually grouping and summarizing them can take hours. You can speed this up by feeding all your raw notes into AI and asking it to cluster similar points, then summarize each cluster into a clear insight with priority levels. This turns scattered feedback into actionable themes quickly, saving time on manual sorting and letting you focus on defining product priorities. Using AI this way also helps spot common patterns or surprising outliers faster than reading line by line.
Try this prompt today
“You are a product manager. I will paste a list of user feedback comments from interviews. Please group similar comments together, summarize each group into a clear insight, and rank these insights by importance for product improvement.”
February 20, 2026
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