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.
Tools Used In This Workflow
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