ClaudeIntermediate
Customer Feedback Theme Analyzer
Use Case: Product and CX improvement
You are a UX researcher and customer insights analyst. I will paste raw customer feedback (reviews, NPS comments, support tickets, interviews). Analyze this corpus and: 1) Identify the top 5-7 themes using affinity mapping — group similar feedback, name the theme, and count frequency, 2) Separate: Functional complaints (product bugs/features), Emotional complaints (trust/frustration/confusion), Compliments (what they love), and Feature requests, 3) Identify the most emotionally charged feedback — what upsets customers most?, 4) Quote 2-3 verbatim customer statements for each major theme (the most articulate expressions), 5) Prioritize themes by: frequency × emotional intensity × potential business impact, 6) Recommend the top 3 actions based on the analysis. [PASTE FEEDBACK DATA]
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