asankarasubramanian/user-feedback-synthesizer
.cursor/skills/user-feedback-synthesizer/SKILL.md
Analyze collections of user feedback to identify patterns and themes. Use when you have user feedback from multiple sources that needs synthesis.
databases
Updated Apr 16, 2026
$ install --global
skillsauthnpx skillsauth add asankarasubramanian/pm-alfred user-feedback-synthesizerInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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SKILL.md
- name:
- user-feedback-synthesizer
- description:
- Analyze collections of user feedback to identify patterns and themes. Use when you have user feedback from multiple sources that needs synthesis.
- argument-hint:
- [feedback data]
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:
- Clustering feedback into themes
- Identifying severity levels for each theme
- Suggesting potential solutions
- Prioritizing issues by impact and frequency
- 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
- Research Synthesis Guide
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