Act as a SaaS retention analyst. Build a tool where I paste 50 to 500 free-text cancellation reasons and customer details such as plan, tenure, and monthly revenue. Cluster the responses into themes like pricing, missing features, poor onboarding, support issues, competitor switch, and no longer needed. Show the share of churn and the revenue lost per theme, and flag themes that are growing fastest. Surface representative quotes for each cluster and separate preventable churn from unavoidable churn. Add a segment filter to compare themes across plans and tenure bands. Conclude with the top 3 interventions, each with a hypothesis, a metric to track, and an expected recovery range.
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