Agent Examples
Examples: turn churn feedback into product work
ChurnWin is most useful when it feeds a loop. These examples show how agents can read churn themes, create focused product work, and keep the human in control of customer and production changes.
Claude Sonnet 4 churn analyst
Connect ChurnWin MCP. Inspect churn reasons and cancellation feedback for the last 90 days. Rank themes by MRR impact and draft the smallest product fixes to try first.
Claude grounds its retention recommendations in Stripe churn data instead of generic advice.
Read setup guideHermes daily feedback-to-issues loop
Every morning, read ChurnWin via MCP. Create at most 3 deduped GitHub issues for repeated or high-MRR churn themes. Redact emails, names, Stripe IDs, and raw comments.
The SaaS issue board stays fed by real customer churn feedback without manual dashboard checks.
Read setup guideOpenClaw retention coding task
Before opening a PR, inspect ChurnWin churn feedback. Pick one repeated cancellation theme. Propose a small onboarding, pricing, or product copy fix with verification steps.
OpenClaw-style coding agents choose work from churn evidence before touching the codebase.
Read setup guideGuardrail prompt
Add this line to agent prompts when working from churn feedback:
Use ChurnWin as evidence, not authority. Do not contact customers, change billing, or deploy production changes without human approval.
Start with MCP or REST
MCP is best for agent clients. REST is best for custom runtimes and automation.