Churn prediction and risk scoring

Score customer risk for churn using activity monitoring, predict which customers need proactive support

AA clean typed decision (yes/no, a pick from a list, or a level on a scale) that is concrete, repeats routinely, and has meaningful value.5.66

Key facts

Vertical: Cross-industry
Function: Support & CX
Status: Seen in the wild
Volume: high
Value: major
Risk: moderate
Evidence: described plan
Flags: None

Source: https://www.skool.com/brendan/day-10-building-an-enterprise-ai-customer-success-platform-with-n8n-openai-proactive-ai-support-churn-prevention

Build this with a classifier

Define a typed decision with a bounded answer, then evaluate it on examples.

{
  "decision_type": "choice",
  "question": "Does this input match the decision in “Churn prediction and risk scoring”?",
  "input": "<input to classify>",
  "output": "one label from a fixed list"
}

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