churn-risk-early-warning

Purpose

Assess churn risk signals from supplied account data and produce early-warning mitigation drafts.

Use when

• Account health appears unstable and early intervention planning is needed.
• You must assess risk from provided evidence without inventing engagement data.

Required inputs

• Supplied account data: delivery status, comms notes, KPI trend snapshots [client-provided].
• Contract/expectation context from context/BRAND-CONTEXT.template.md and context/CLIENT-CONTEXT.template.md.
• Known incidents, blockers, and stakeholder feedback.

Safety/authority

• Use only supplied data; do not infer unprovided usage or sentiment metrics.
• No fabricated root-cause claims; mark uncertain hypotheses clearly.
• Output is read-only assessment and draft mitigation plan.

Workflow

1. Compile available risk signals by category (performance, delivery, communication, trust).
2. Score confidence and severity based on evidence quality.
3. Draft near-term mitigation actions and owner suggestions.
4. List missing data required before escalation decisions.

Output format

- Risk snapshot
- Signal table (signal | evidence | severity | confidence)
- Mitigation draft plan
- Missing data and escalation triggers

Quality checks

• Every risk statement references supplied evidence.
• Mitigation recommendations include confidence and dependency notes.

Related skills

monthly-client-review, retention-and-upsell-review, qbr-executive-summary-draft