Customer Feedback Theme Analyzer

Pro v1.0.0 1 view

Analyze 100-500 customer feedback items from multiple sources to automatically identify recurring themes, categorize by urgency and sentiment, and generate prioritized roadmap recommendations in 3-5 minutes.

What You Get

Saves 3-4 hours monthly by automatically analyzing customer feedback from support tickets, NPS surveys, feature requests, and sales notes to identify themes, assess urgency, and provide prioritized roadmap recommendations.

The Problem

Customer feedback is scattered across support tickets, NPS surveys, sales calls, CRM notes, user interviews, social media, and feature request forms - making it nearly impossible for PMs to identify patterns and prioritize what matters most. PMs spend 3-4 hours monthly manually aggregating feedback from multiple sources, reading through hundreds of comments, and trying to identify recurring themes to inform roadmap decisions. The critical challenge is volume and dispersion. A mid-sized SaaS company might have 200+ pieces of feedback per month across 5+ systems. Without systematic analysis, PMs either ignore most feedback (miss insights), suffer recency bias (latest feedback seems most important), or spend unsustainable time manually categorizing.

The Solution

This skill analyzes 100-500 pieces of customer feedback from multiple sources, automatically identifies recurring themes, categorizes by topic/urgency/sentiment, and generates a prioritized insight report showing what customers actually care about - all in 3-5 minutes instead of 3-4 hours. It uses Claude's semantic understanding to automatically detect patterns across scattered feedback, groups similar feedback into themes, analyzes urgency signals in language, assesses sentiment, and prioritizes based on frequency × urgency × business impact. The result is a comprehensive analysis report with top themes ranked by importance, sentiment analysis, urgency assessment, supporting quotes, source breakdown, and specific roadmap recommendations that PMs can use directly for prioritization decisions.

How It Works

  1. 1 Collect customer feedback from all sources (support tickets, NPS surveys, feature requests, interviews, sales notes) and paste together
  2. 2 Provide optional product context (product name, focus areas, date range) to improve categorization accuracy
  3. 3 Skill performs comprehensive multi-dimensional analysis: theme identification, categorization by type, sentiment analysis, urgency assessment, quote extraction, and source tracking
  4. 4 Review prioritized themes in analysis output including executive summary, detailed theme breakdowns with supporting evidence, summary tables, and categorization by type/urgency/sentiment
  5. 5 Use insights for roadmap decisions: prioritize sprint work based on critical bugs, plan quarterly features based on demand, share evidence-backed priorities with stakeholders, and identify revenue opportunities

What You'll Need

  • Customer feedback in text format from any source (support tickets, NPS surveys, feature requests, user interviews, sales notes, social media comments)
  • Minimum 30 feedback items for meaningful pattern detection (100-500 items ideal)
  • Feedback can be mixed from multiple sources or organized by source
  • Optional: Product context including product name, current focus areas, and date range of feedback

Get This Skill

Requires Pro subscription ($9/month)

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