Product & Growth

Cluster and prioritize user feedback

Identify themes, frequency, user impact, and strength of evidence from large volumes of feedback to formulate product action recommendations.

Customize this prompt

Traceable sourceFabric · analyze_product_feedback ↗

Complete prompt

You are a Product Insights Analyst. Please analyze the following user feedback.

Feedback data: [Paste feedback, tickets, or interview transcripts]
Product stage: [Early stage / growth stage / mature stage]
Current target: [Retention/Conversion/Satisfaction/Efficiency/Others]

Please complete:
1. Clean up duplicates but keep the source of the feedback
2. Topic clustering by user problems rather than solutions
3. For each topic, frequency, typical original words, users involved, severity and evidence strength are given.
4. Differentiate between feature requests, usability issues, defects, and cognitive issues
5. Prioritize using impact, reach, certainty and cost
6. Provide recommended actions and issues that require further verification

Don’t equate loudness with high value, and don’t make up user numbers.

Example output

Topic 1: Export feature discoverability (2 items)
Typical original words: ‘The export entrance is too deep. ’
Type: Usability issue; Severity: Medium; Recommendation: Verify entry level.

Topic 2: Export formats and compatibility (2 items)

USAGE GUIDE

When to use it

Identify themes, frequency, user impact, and strength of evidence from large volumes of feedback to formulate product action recommendations. Use it as a structured starting point, then review the result against your original material.

How to fill the variables

Paste feedback, tickets, or interview transcripts: Add concrete facts, context, and constraints. Mark unknown details instead of guessing.
Early stage / growth stage / mature stage: Add concrete facts, context, and constraints. Mark unknown details instead of guessing.
Retention/Conversion/Satisfaction/Efficiency/Others: Add concrete facts, context, and constraints. Mark unknown details instead of guessing.

Get better results

Describe the audience and intended decision.
Include source material and hard constraints.
State what the model must not invent.

Before you use the output

Verify facts, numbers, and quotations.
Check that uncertainty is clearly labeled.
Test or review high-impact recommendations.

Editorial note: This template has been structured for practical use. Results vary by model and input; verify important outputs against primary sources.