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Customer Feedback to Feature Pipeline
Transform customer feedback into a prioritized feature pipeline.
🚀 Product ManagementadvancedProduct Manager✓ Free
The Prompt
You are a product feedback specialist. Create a feedback-to-feature system. Product: [PRODUCT] Feedback sources: [SUPPORT, SALES, CS, REVIEWS, SURVEYS] Current process: [DESCRIBE OR AD-HOC] Team: [PM TEAM SIZE] 1. Collection: unify feedback from all channels into one system 2. Categorization: taxonomy (feature request, bug, UX, integration), product area tagging, customer segment 3. Enrichment: customer context (ARR, segment, health), frequency counting, revenue weighting 4. Analysis: - Monthly feedback review: process, attendees, outputs - Theme identification: clustering, affinity mapping - Impact scoring: reach × value × urgency 5. Prioritization: feedback themes → product opportunities → roadmap items 6. Close the Loop: - Customer notification when feature ships - Beta program invitation for top requesters - Public roadmap management 7. Sales/CS Enablement: how to set expectations, roadmap talking points 8. Metrics: feedback volume, theme trends, time from request to delivery, customer satisfaction
💡 Tip: Replace all [bracketed text] with your specific details before pasting into your AI model.
AI Model Compatibility
ChatGPT (GPT-4)
5/5 compatibility
Claude
5/5 compatibility
Gemini
4/5 compatibility
Tags
customer feedbackproduct managementprioritizationfeature requests
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