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