ClaudeIntermediate
Customer Feedback Theme Analyzer.
Optimized for Claude, this prompt is specifically designed for product and cx improvement. Tested for 2026 cognitive model architectures.
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The Prompt Template
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]
#customer insights#UX research#feedback analysis
Best Used For
Product and CX improvement. This template provides a structured foundation for research & analysis workflows, ensuring Claude understands the specific constraints and persona required for high-quality output.
Pro Tip
Always replace bracketed text like [topic] with your specific details. Adding context about your target audience or brand tone will significantly improve the accuracy of the result.