{
  "id": "workflow:customer-churn-analysis",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-deeper-domains.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "Customer Churn Analysis",
    "workflowKind": "governance",
    "triggerType": "scheduled",
    "typicalCadence": "monthly",
    "complexity": "cross-team",
    "description": "Analyzes customer churn patterns and develops predictive intervention\nstrategies -- extracting churn cohort data segmented by acquisition\nchannel, plan tier, usage intensity, and lifecycle stage, building and\ncalibrating churn-prediction models using behavioral signals such as\nlogin frequency decline, support-ticket escalation patterns, and\nfeature-adoption stalls, conducting win-back campaign A/B testing and\nmeasuring reactivation rates, performing root-cause analysis on churned\naccounts through exit-survey correlation and product-usage forensics,\nidentifying at-risk account segments for proactive customer-success\noutreach, and quantifying churn revenue impact by segment. Produces\nchurn analysis report with prediction model scorecard and intervention\nplaybook. Excludes individual account management.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:customer-churn-analysis",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "role:planner",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "role:engineering-manager",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "skill-area:python-data-pipelines",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "skill-area:data-quality",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "domain:customer-experience",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "domain:business-intelligence",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "domain:marketing",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "responsibility:cost-optimization",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "org-unit:analytics-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "org-unit:customer-success",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:customer-churn-analysis",
      "to": "org-unit:growth-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}