Customer Churn Early-Warning Lab

 Create a customer retention analysis tool that examines imported subscription, usage, support, billing, and customer feedback data to identify patterns associated with cancellation or declining engagement. Build transparent risk indicators using available historical data, show which signals contribute to each assessment, and segment customers by their observed behavior. Generate prioritized retention actions and allow teams to compare intervention scenarios. Include safeguards against data leakage, explain uncertainty, and distinguish genuine predictive performance from rules or assumptions that have not been validated on historical outcomes.