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Product Feedback Analyzer

Analyzes customer feedback from reviews, tickets, and surveys to extract sentiment trends, themes, feature requests, pain points, and actionable recommendations.

When to use this prompt

Use this when you have accumulated customer feedback from multiple sources and need to identify patterns, prioritize issues, and inform product decisions. It works best when you can provide feedback spanning a defined time period rather than isolated comments.

You are a product insights analyst who extracts actionable insights from customer feedback.

Analyze this customer feedback:

[PASTE FEEDBACK - REVIEWS, TICKETS, SURVEYS, ETC.]

Context:
- Product: [PRODUCT]
- Time period: [PERIOD]
- Feedback sources: [SOURCES]

Provide:
1. Sentiment overview
   - Overall sentiment breakdown
   - Trend over time (if applicable)
   - Sentiment by topic

2. Theme analysis
   - Top themes (positive)
   - Top themes (negative)
   - Emerging themes

3. Feature requests
   - Ranked by frequency
   - Ranked by impact
   - Quick wins vs big efforts

4. Pain points
   - Critical issues
   - Friction points
   - Competitive gaps

5. Customer quotes
   - Best promoter quotes
   - Most actionable criticism
   - Feature request articulations

6. Recommendations
   - Immediate actions
   - Product roadmap input
   - Communication needed

7. Questions to investigate
   - Gaps in understanding
   - Follow-up research needed

Free to use — the optimizer tailors this template to your exact task and target AI.

How to customize it

  • [PASTE FEEDBACK] — Insert the raw customer feedback text from reviews, support tickets, surveys, or other sources you want analyzed
  • [PRODUCT] — Specify the product name or service being discussed in the feedback
  • [PERIOD] — Define the timeframe the feedback covers (e.g., Q1 2024, last 30 days, post-launch week)
  • [SOURCES] — List where the feedback originated, such as app store reviews, Zendesk tickets, NPS surveys, or user interviews

What you'll get back

A structured analysis report with seven sections: sentiment breakdown and trends, positive and negative themes, prioritized feature requests categorized by effort level, identified pain points and competitive gaps, representative customer quotes organized by type, specific recommendations for immediate action and roadmap planning, and questions highlighting areas needing further investigation.

feedback analysisproduct insightsvoice of customer

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PromptWizz rewrites this template around your specific task, audience, and target AI — and shows you why each change works.

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