Analyze customer feedback at scale to find hidden patterns, prioritize improvements, and turn complaints into product strategy.
You are a customer insights analyst who turns raw feedback into product strategy. Analyze the following customer feedback data. Feedback Source: [SUPPORT TICKETS / APP REVIEWS / SURVEY RESPONSES / NPS COMMENTS / SOCIAL MEDIA / CHURN INTERVIEWS] Time Period: [WHEN THIS FEEDBACK WAS COLLECTED] Product: [WHAT PRODUCT/SERVICE THIS IS ABOUT] Feedback Data: [PASTE YOUR FEEDBACK — can be raw text, CSV, or a list of comments] Analyze and deliver: 1. **Theme Clustering** - Group all feedback into 5-8 themes - For each theme: count, example quotes, sentiment (positive/negative/mixed) - Sort by frequency (most common first) 2. **Sentiment Breakdown** - Overall sentiment score and distribution - Sentiment by theme (which areas are loved vs. hated?) - Sentiment trend if timestamps are available 3. **Priority Matrix** Map each theme on two axes: - Impact (how much it affects user experience) - Frequency (how often it comes up) - Result: Quick wins / Strategic bets / Minor fixes / Monitor 4. **Hidden Insights** - Patterns that aren't obvious from reading individual comments - Correlations between themes (do users who complain about X also mention Y?) - Emerging issues (mentioned rarely but with high severity) 5. **User Segments** - Are different user types saying different things? - Power users vs. new users vs. churned users patterns 6. **Action Plan** - Top 3 things to fix immediately (with expected impact) - Top 3 things to build next (feature requests with demand signal) - Top 3 things to communicate better (perception vs. reality gaps) 7. **Executive Summary** - 5-sentence summary for leadership - One chart description that tells the whole story - The single most important finding Don't just categorize — tell me what to DO with this data.
## Feedback Analysis: CloudSync App (142 App Store Reviews, Q1 2026) ### Theme Clustering | # | Theme | Count | Sentiment | Example Quote | |---|---|---|---|---| | 1 | Sync reliability | 38 (27%) | 🔴 Negative | "Files randomly stop syncing and I don't notice for days" | | 2 | Mobile app UX | 29 (20%) | 🟡 Mixed | "Love the features but the app is so confusing to navigate" | | 3 | Speed/performance | 24 (17%) | 🔴 Negative | "Uploading large files takes forever compared to Dropbox" | | 4 | Pricing | 19 (13%) | 🟡 Mixed | "Great product but $15/mo is steep when Google gives 15GB free" | | 5 | Customer support | 16 (11%) | 🟢 Positive | "Support team responded in 2 hours and actually fixed my issue" | | 6 | Collaboration | 10 (7%) | 🟢 Positive | "Shared folders with my team and it just works" | | 7 | Security concerns | 6 (4%) | 🔴 Negative | "Where's end-to-end encryption? Dealbreaker for my business files" | ### Priority Matrix | | High Impact | Low Impact | |---|---|---| | **High Frequency** | 🔴 Sync reliability (FIX NOW) | 🟡 Pricing perception | | **Low Frequency** | ⚠️ Security/encryption (STRATEGIC) | 🟢 Minor UI tweaks | ### Hidden Insights - Users who mention sync issues are 4x more likely to also mention considering alternatives - "Security" mentions jumped 3x in March — likely triggered by a competitor's breach news - Power users (5+ file mentions) love collaboration but hate mobile UX — they're desktop-first ### Action Plan **Fix Immediately:** 1. Sync reliability — this is your #1 churn risk. Users don't even know files aren't syncing. → Add sync status indicator + notification when sync fails 2. Large file upload speed — run performance benchmarks against Dropbox/Google Drive **Build Next:** 1. End-to-end encryption — small demand but highest severity. Business users will pay more for this. ### Executive Summary Sync reliability is the single biggest risk to retention, mentioned in 27% of all reviews with strongly negative sentiment. Users who experience sync issues are 4x more likely to mention switching to competitors. The good news: customer support and collaboration features are genuinely loved. Immediate investment in sync reliability monitoring and user-facing status indicators would address the top concern while buying time for the mobile UX overhaul.
This prompt combines thematic analysis with prioritization frameworks, transforming unstructured feedback into actionable product insights. It identifies recurring patterns across volume and sentiment, separating signal from noise in customer voices to surface what matters most.
Use when you have accumulated customer feedback from support tickets, NPS surveys, app reviews, or social media and need to identify themes for your product roadmap. Perfect for quarterly planning, post-launch retrospectives, or when building a case for specific product investments.
You receive categorized feedback themes ranked by frequency and impact, sentiment breakdown per theme, specific customer quotes as evidence, and a prioritized improvement roadmap with estimated effort-to-impact ratios for each opportunity.
Stop building what nobody wants. This interview script uncovers genuine customer problems, not polite validation.
Systematically diagnose customer churn, identify warning signs, and build a retention playbook.
Turn any research goal into clear, bias-free survey questions with response scales and skip logic
Guide through building a cohort analysis to understand user retention, behavior, and lifetime value.
From chaos to clarity — find the real "why."