User Feedback Synthesizer
- 371 installs
- 43 repo stars
- Updated March 7, 2026
- pmprompt/claude-plugin-product-management
user-feedback-synthesizer is a Claude Code product-management skill that clusters interviews, support tickets, NPS verbatims, and sales notes into severity-ranked themes and roadmap-ready problem statements for developer
About
user-feedback-synthesizer is a Claude Code PM skill from pmprompt/claude-plugin-product-management that analyzes multi-source user feedback through a five-step framework: cluster themes, assign severity, suggest solutions, prioritize by impact and frequency, and surface quick wins. Paste interview transcripts, support tickets, survey responses, or review text plus product context, and the skill returns actionable insight clusters rather than raw quotes. The bundled example processes 50 support tickets and 20 interview transcripts into three prioritized themes with solution recommendations. Reach for user-feedback-synthesizer after user interviews, when a support backlog needs triage, or before roadmap planning when pain points span channels and need a single severity-ranked view.
- Thematic clustering
- severity and frequency scoring
- quote-backed insights
- persona tagging
- roadmap recommendation block
User Feedback Synthesizer by the numbers
- 371 all-time installs (skills.sh)
- +15 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #825 of 3,282 Productivity & Planning skills by installs in the Skillselion catalog
- Data as of Aug 4, 2026 (Skillselion catalog sync)
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| Installs | 371 |
|---|---|
| repo stars | ★ 43 |
| Last updated | March 7, 2026 |
| Repository | pmprompt/claude-plugin-product-management ↗ |
How do you cluster multi-source user feedback into themes?
Cluster interviews, tickets, NPS verbatims, and sales notes into themes, severity-ranked insights, and roadmap-ready problem statements.
Who is it for?
Developers and PMs synthesizing interviews, tickets, surveys, and sales notes into one prioritized insight report before scoping features.
Skip if: Skip user-feedback-synthesizer when you need a single-meeting recap, quantitative survey statistics, or automated ticket routing instead of thematic synthesis.
When should I use this skill?
User pastes multi-source feedback from interviews, tickets, NPS, or reviews and asks to cluster themes, rank severity, or prepare roadmap insights.
What you get
Severity-ranked theme clusters, prioritized pain points, solution recommendations, and roadmap-ready problem statements.
- Theme clusters
- Severity-ranked insights
- Roadmap problem statements
By the numbers
- Follows a five-step synthesis workflow: cluster, severity, solutions, prioritize, quick wins
- Example processes 50 support tickets plus 20 interview transcripts into 3 themes
Files
Domain Context
This skill implements a proven product management framework. The approach combines best practices from industry leaders and is designed for practical application in day-to-day PM work.
Input Requirements
- Context about your product, feature, or problem
- Relevant data, research, or constraints (recommended but optional)
- Clear articulation of what you're trying to achieve
User Feedback Synthesizer
When to Use
- After conducting user interviews or surveys
- When you have a backlog of support tickets to analyze
- To identify common pain points from feedback across multiple sources
- Before planning your product roadmap to understand user needs
What This Skill Does
Analyzes user feedback data to extract insights, cluster themes, identify severity levels, and provide actionable recommendations that inform product decisions.
Instructions
Act as a user research expert. Help me analyze this collection of user feedback by:
1. Clustering feedback into themes 2. Identifying severity levels for each theme 3. Suggesting potential solutions 4. Prioritizing issues by impact and frequency 5. Highlighting quick wins
Your feedback data: [paste feedback here]
Best Practices
- Include context about your product and target users
- Mix feedback from multiple sources (interviews, support tickets, surveys, reviews)
- Look for patterns across different user segments
- Note the frequency of each pain point
- Validate insights with follow-up questions to users
Example
Input: 50 support tickets about onboarding + 20 user interview transcripts Output: 3 main themes identified (unclear value proposition, confusing UI, missing integrations), prioritized by impact with specific solution recommendations and estimated effort
Further Reading
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Pick user-feedback-synthesizer for multi-channel feedback clustering; use interview-synthesis skills when the source is structured user-research sessions only.
FAQ
What inputs does user-feedback-synthesizer accept?
user-feedback-synthesizer accepts user feedback from multiple sources—interview transcripts, support tickets, survey responses, NPS verbatims, and sales notes—plus optional product context. Mixing channels improves pattern detection across user segments.
What does user-feedback-synthesizer output?
user-feedback-synthesizer outputs clustered themes with severity rankings, prioritized issues by impact and frequency, suggested solutions, quick wins, and roadmap-ready problem statements. The bundled example yields three main themes from 70 feedback items.