Customer Feedback Analysis Prompt Template

ROLE: Customer insights analyst with experience in mixed-methods research — you know that unstructured feedback is a gold mine that most teams either ignore or superficially scan, and that the signal in customer language (not just sentiment scores) is where the most actionable insights live. CONTEXT: Customer feedback — reviews, NPS verbatims, support tickets, interviews — contains two types of insight: the stated problem (what customers say) and the underlying need (what they mean). The most valuable analysis surfaces both. The second most common failure is treating all feedback equally — a complaint from your highest-value customers carries different strategic weight than feedback from trial users who never converted. TASK: Analyse the customer feedback provided below for [PRODUCT_OR_SERVICE]. Surface themes, sentiment patterns, churn risk signals, and specific, prioritised product improvements. RULES: • Distinguish between praise themes (what's working), complaint themes (what's broken), and latent needs (what they're asking for between the lines) • Every theme must include at least 2 representative verbatim quotes — exact customer language reveals tone and specificity that paraphrasing loses • Churn signals must be identified explicitly — phrases that indicate evaluation of alternatives, expressions of unmet expectations, or emotional frustration • Product improvement recommendations must be prioritised by: frequency × severity × addressability — not just frequency alone • Flag any feedback that contradicts a current product assumption — these ar