Use AI to quickly turn scattered user feedback into a concise priority list for your next product sprint.
Product managers often collect user feedback from many sources, which can be overwhelming to sort and prioritize quickly. This workflow uses AI to save time by organizing raw feedback into clear themes and then ranking them by importance — so you can focus on what matters most fast. Start by gathering all your notes or quotes from user interviews, surveys, or support tickets. Then, feed this text into ChatGPT or Claude and ask it to group similar feedback points and summarize key themes. Next, ask the AI to help you prioritize these themes based on impact or frequency, so you have a ready-to-use list for your planning session. Finally, review the AI’s summary, adjust if needed, and copy the prioritized list into your product planning document or sprint board. This process cuts hours of manual sorting down to minutes, helping you move from raw feedback to actionable priorities with ease.
Try this prompt today
“Act as a product manager assistant. I will give you raw user feedback notes from interviews and support tickets. Please group similar feedback points into clear themes and summarize each theme in one sentence. Then rank the themes in order of importance based on how often they appeared and potential impact on users. Provide the summary and prioritized list so I can use it for sprint planning.”
March 12, 2026
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