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churn-risk-analysis【数据与研究】Analyze customer health signals, identify churn risk flags, and generate an intervention playbook. Use when user says "churn risk", "customer at risk", "red account", "at-risk customer", "health score dropped", "renewal at risk", "customer going dark", "cancel risk", or "what's wrong with this account" - even if they don't say "churn" explicitly. App…
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Based on "Customer Success" by Mehta, Steinman & Murphy, churn rarely happens by surprise. The signals appear weeks or months before a customer cancels - they just go unread. This skill structures those signals into a scored risk model and prescribes specific interventions for each risk tier.
The core insight: churn is a lagging indicator. The leading indicators are low usage, missing stakeholders, unresolved complaints, and strategic misalignment. Act on those, not the cancellation notice.
Rate each dimension 1 (healthy) to 3 (at risk):
| Dimension | 1 - Healthy | 2 - Watch | 3 - At Risk |
|---|---|---|---|
| Usage | MAU >80% of licenses, core feature adoption >70% | MAU 50-80%, spotty feature use | MAU <50%, logins declining MoM |
| Stakeholder coverage | Champion active, exec sponsor engaged | Champion disengaged, no exec relationship | Champion left, no internal advocate |
| Support load | <3 tickets/month, all resolved | 4-8 tickets/month, 1-2 lingering | >8 tickets/month or critical unresolved |
| NPS / sentiment | NPS 8-10, positive qualitative signals | NPS 6-7, neutral | NPS 0-5, complaints escalating |
| Goal progress | On track for agreed outcomes | Behind on 1-2 goals | No measurable progress, ROI questioned |
| Renewal proximity | >6 months out | 3-6 months | <3 months with unresolved issues |
Composite score = sum of all dimensions (6-18)
Check for these specific churn signals from the CS literature:
Document which flags are active for [customer name].
Tier 1 - Healthy (score 6-9) Standard success motion:
Tier 2 - Watch (score 10-13) Elevated engagement:
Tier 3 - At Risk (score 14-18) Immediate intervention:
| Root Cause | Primary Intervention |
|---|---|
| Low usage | Activation sprint - identify unused high-value features, run targeted enablement |
| Champion left | Stakeholder mapping - identify new champion, executive introduction via your sponsor |
| Unresolved support issue | Escalation - assign DRI, set resolution SLA, provide daily updates |
| ROI not demonstrated | Value audit - pull outcome data, schedule executive value review |
| Competitive threat | Competitive positioning call - address gaps directly, accelerate roadmap items |
| Budget pressure | Value consolidation story - quantify ROI, provide cost justification data |
For at-risk accounts, produce a one-page brief for internal stakeholders:
Account: [customer name] ARR: [value] Renewal date: [date] Risk score: [X/18] - Tier [1/2/3] Active flags: [list] Root cause hypothesis: [1-2 sentences] Proposed intervention: [specific actions, owners, dates] Success criteria: [what "recovered" looks like with a measurable signal]
1. Waiting for the customer to say they're leaving Bad: Only flagging churn risk when a customer sends a cancellation email. Good: Scoring all accounts monthly. Catching at-risk signals 90+ days before renewal.
2. One-dimensional health scoring Bad: Defining "at risk" as only low usage. Good: Scoring across six dimensions. An account with high usage but no executive sponsor and a recent support escalation is still at risk.
3. Intervention without root cause Bad: "Account is red, scheduling an EBR." Good: "Champion left 6 weeks ago. We have no internal advocate. First step is stakeholder mapping to identify a new champion before any executive outreach."
4. No internal escalation path Bad: CSM handles Tier 3 accounts alone without manager involvement. Good: Tier 3 automatically triggers manager review and cross-functional coordination.
5. Treating all at-risk accounts the same Bad: Same playbook for low-usage accounts and accounts with executive disengagement. Good: Match intervention to root cause. Low usage needs activation. Lost champion needs relationship rebuilding. Support frustration needs escalation and resolution.