AI Customer Feedback Analysis Workflow
Customer feedback is a goldmine of insights, but manually reading hundreds of reviews, tickets, and surveys is impractical. This workflow uses AI to systematically extract themes, measure sentiment, and generate actionable recommendations.
Workflow Steps
Aggregate & Clean Feedback Data
Combine feedback from multiple sources and prepare it for analysis.
Why ChatGPT: ChatGPT handles data cleaning and structuring tasks efficiently with practical code output.
Extract Themes & Sentiment
Identify recurring themes, categorize feedback, and measure sentiment per category.
Why Claude: Claude identifies nuanced themes and provides balanced sentiment analysis without over-simplifying.
Identify Root Causes
Go beyond surface complaints to understand the underlying causes driving negative feedback.
Why Claude: Claude performs deep root cause analysis that connects feedback patterns to actionable business problems.
Generate Recommendations Report
Turn insights into a prioritized action plan stakeholders can act on.
Why Gemini: Gemini synthesizes large amounts of qualitative data into clear, structured reports.
Run This Workflow with Council
Query multiple AI models at once to compare results at each step. See which AI handles each part of the workflow best.
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