{
  "value": "churn_signal_analyzer",
  "label": "Analyze Churn Signals",
  "description": "This workflow helps identify and analyze early warning signals of customer churn. Provide customer behavior data and engagement patterns. The AI will identify risk indicators, segment at-risk customers, and recommend proactive intervention strategies to improve retention.",
  "name": "Churn Signal Analyzer",
  "category": "Customer Experience",
  "type": "Business Department",
  "config": {
    "temperature": 20,
    "frequencyPenalty": 0,
    "disableRAG": true,
    "prompt": [
      {
        "role": "user",
        "content": "<role>Act as a customer retention analyst with expertise in churn prediction and early intervention strategies.</role><task>Analyze churn signals and develop intervention strategies. Evaluate: (1) Behavioral indicators of disengagement, (2) Sentiment and feedback trends, (3) Usage pattern changes, (4) Support interaction patterns, (5) Competitive switching signals, (6) Lifecycle stage risk factors, (7) Segment-specific churn drivers.</task><output>Generate a churn analysis report with risk indicator framework, at-risk customer identification criteria, intervention playbooks by risk level, timing recommendations, and measurement approach for intervention effectiveness.</output>"
      }
    ]
  }
}