Skills › Customer Success › Churn Risk Profile

Churn Risk Profile

Build a churn risk profile for a customer by combining company health signals, news, and sentiment indicators.

Superpowers: handler_intel · handler_monitor · handler_generate

When to use: A customer hasn't been engaging or you've heard negative signals — you need to understand their risk level.

Steps

Enrich the customer company for health signals

Superpower: handler_intel — live API reference →

POST /v2/superpowers/handler_intel
{
  "task": "company_enrich",
  "domain": "customer.com"
}

Look for headcount decline, funding status, and tech stack changes — all churn signals.

Check for recent negative news or company changes

Superpower: handler_monitor — live API reference →

POST /v2/superpowers/handler_monitor
{
  "task": "news",
  "query": "[Customer Company] layoffs restructuring leadership change funding"
}

From previous step: result.name from step 1 → inject into query

Produce a churn risk profile

Superpower: handler_generate — live API reference →

POST /v2/superpowers/handler_generate
{
  "task": "chat",
  "prompt": "You are a customer success manager. Based on this data, produce a churn risk profile for [Customer]. Sections: (1) Risk level (high/medium/low) with rationale, (2) External signals suggesting risk (layoffs, funding, leadership change), (3) Retention levers (what they're getting value from, what to protect), (4) Recommended next action (call, email, executive escalation), (5) Suggested talking points for the outreach. Data: [steps 1-2]"
}

From previous step: company data (step 1) + news (step 2) → inject

Outcome: Churn risk profile: risk level, external signals, retention levers, and recommended action with talking points.

Fetch this skill via API

GET /v2/skills/churn-risk-profile
Authorization: Bearer sk-hndlr-...