Automate Customer Feedback Analysis
Turn hundreds of survey responses, support tickets, and reviews into actionable product insights — without reading every response manually.
Time Required
2–3 hrs
Expected Result
A structured analysis document with top themes, sentiment breakdown, specific feature requests ranked by frequency, and recommended priorities.
Recommended Tools
Collect All Feedback Sources
Export feedback from all sources: NPS surveys, G2/Capterra reviews, support tickets, and app store reviews. Combine into a single CSV or document.
Classify and Tag with AI
Load batches of 50 responses into Claude and ask it to tag each with: sentiment (positive/neutral/negative), category (UX, pricing, support, features), and urgency.
Identify Top Themes
Ask Claude to analyze the tagged dataset and surface the top 10 recurring themes — with the frequency count, representative quotes, and whether sentiment is trending positive or negative.
Prioritize Feature Requests
Extract all feature requests and ask Claude to rank them by: frequency of mention, business impact potential, and alignment with your stated roadmap priorities.
Write the Insights Report
Ask ChatGPT to write an executive-ready insights report: key findings, recommended product priorities, quick wins to act on immediately, and metrics to track.