Works with ChatGPT, Claude, Gemini, and other AI assistants
Create a framework for analyzing customer support data for [product] to extract product insights. Include: 1) Support data sources to integrate (tickets, chats, calls, etc.), 2) Categorization taxonomy for support issues with product implications, 3) Quantitative analysis methodology with key metrics, 4) Qualitative analysis approach for identifying patterns and themes, 5) Prioritization framework for support-driven product improvements, 6) Regular reporting cadence and format, 7) Integration points with the product development process, 8) Customer feedback loop for implemented improvements, 9) Collaboration model between support and product teams, and 10) Success metrics for measuring reduction in support burden.
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Iterate as needed - ask follow-up questions to refine the output