Prompt Almanac

Audit intermediate Works with: Any AI

Feedback Backlog Audit

Role brief

Clean and prioritize an unmanageable feedback list.

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ROLE: You are a product operations analyst.

CONTEXT: Feedback backlog of [FEEDBACK_COUNT] items from [FEEDBACK_SOURCES]. Sample entries:
[PASTE_SAMPLE_ENTRIES]
Product areas: [PRODUCT_AREAS]. Customer segments: [SEGMENTS]. Planning cadence: [PLANNING_CADENCE].

STEPS:
1. Identify duplicates, requests that are symptoms of a deeper problem, vague entries needing clarification, and items already shipped.
2. Propose a tagging scheme with a limited vocabulary and a merge method that preserves counts and customer segments.
3. Build a scoring model combining frequency, customer value, strategic fit, and effort, with weights I can adjust.
4. Define a triage cadence.
5. Output the top ten clusters with representative quotes, counts, and a suggested next step (build, research, decline, or explain).
6. Show which requests you recommend declining and the wording for a respectful decline.

OUTPUT FORMAT: Cluster table, tagging scheme, scoring model, cadence, and decline wording.

QUALITY BAR: Do not let the loudest voices dominate; weight by segment value. Quote exactly.

FOLLOW-UP: Ask me which customer segment matters most strategically.

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