Product Feedback Summary Prompt
Key Findings, Recommendations, Open Risks — collected feedback compressed for the roadmap discussion, with recommendations the source actually supports.
Overview
Feedback summaries drift in a specific direction: the model's own product opinions leak into the recommendations. This setup compresses collected feedback into Findings & Recommendations structure — Key Findings with numbers as written, Recommendations the source makes OR directly supports (nothing freelanced), Open Risks for what the feedback leaves unresolved — under High Fidelity with Important Quotes, so the feedback's strongest statements arrive in customers' own words. Built for the quarterly roadmap discussion, where the summary competes with opinions.
Workflow
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Compress the collection, not the items
Run it on the assembled feedback set — per-item processing is classification and extraction territory.
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Audit the Recommendations section
"Makes or directly supports" is the leash — any recommendation without a finding behind it is a red flag.
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Bring quotes to the meeting
A verbatim customer sentence ends roadmap debates that summaries can't.
Why This Works
- Findings/Recommendations separation keeps evidence and advice distinct
- The source-support rule stops the model's product opinions from leaking in
- Open Risks gives the skeptics a section, which keeps the summary credible
Best for
- Product teams running quarterly planning on real input
- Feedback collections too large for everyone to read
- Discussions where "customers want X" needs receipts
Not for
- Categorizing individual feedback messages — that's the Data Classification Prompt
- Mining individual reviews into fields — that's the Extraction Prompt Generator
Use cases
- Preparing the feedback digest for roadmap planning
- Keeping recommendations tied to what customers actually said
- Quoting the strongest customer statements verbatim