churn-risk-detectorlisted

Scan support tickets, Slack channels, NPS scores, and usage patterns to flag accounts showing early churn indicators. Produces a weekly risk scorecard with severity tiers, root cause hypotheses, and suggested save plays per account. Designed for seed/Series A teams where the founder or a single CSM manages all accounts manually.
gooseworks-ai/goose-skills · ★ 708 · Web & Frontend · score 83

Install: claude install-skill gooseworks-ai/goose-skills

# Churn Risk Detector Surface accounts at risk of churning before it's too late. Aggregates signals from support, communication, and usage patterns into a scored risk report with specific save actions. **Built for:** Early-stage teams with no CS platform (no Gainsight, no ChurnZero). You have a spreadsheet of customers, a Slack channel, and a support inbox. This skill turns those raw signals into an actionable churn risk list. ## When to Use - "Which customers are at risk of churning?" - "Run the weekly churn risk scan" - "Flag accounts I should worry about" - "Who haven't we heard from in a while?" - "Produce a customer health report" ## Phase 0: Intake ### Account Data 1. **Customer list** — CSV or sheet with: company name, primary contact email, contract value (MRR/ARR), contract start date, renewal date (if known) 2. **Product/service type** — What are they paying for? (Helps calibrate expected engagement) ### Signal Sources (provide what you have) 3. **Support tickets** — Export from Intercom, Zendesk, or email (CSV with: customer, date, subject, status, resolution time) 4. **Slack channel history** — Customer Slack channel or shared channel messages 5. **NPS/CSAT scores** — Recent survey results with scores and comments 6. **Usage data** — Any metrics you track: logins, API calls, features used, active users (CSV export) 7. **Email/communication log** — Last touchpoints per account (dates + context) 8. **Billing data** — Payment failures, downgrades, discount req