iiRecord
Agentic AI Atlas · Product-Market Fit Assessment
workflow:product-market-fit-assessmenta5c.ai
II.
Workflow JSON

workflow:product-market-fit-assessment

Structured · live

Product-Market Fit Assessment json

Inspect the normalized record payload exactly as the atlas UI reads it.

File · workflows/workflows/workflows-entrepreneurship.yamlCluster · workflows
Record JSON
{
  "id": "workflow:product-market-fit-assessment",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-entrepreneurship.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "Product-Market Fit Assessment",
    "workflowKind": "governance",
    "triggerType": "scheduled",
    "typicalCadence": "monthly",
    "complexity": "cross-team",
    "description": "Systematically assesses product-market fit indicators across quantitative and\nqualitative dimensions — tracking Sean Ellis survey scores (percentage who\nwould be very disappointed without the product), measuring natural organic\ngrowth rate and viral coefficient, analyzing revenue retention cohorts and\nexpansion revenue trends, monitoring support ticket volume relative to user\ngrowth as a quality proxy, evaluating competitive win/loss ratios from sales\ndata, and correlating NPS segments with feature usage patterns to identify\nthe core value driver. Produces PMF scorecard dashboards, cohort retention\nanalyses, and strategic recommendation memos for the leadership team.\nExcludes go-to-market strategy execution.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:product-market-fit-assessment",
      "to": "role:cto",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:product-market-fit-assessment",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:product-market-fit-assessment",
      "to": "role:product-designer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:product-market-fit-assessment",
      "to": "skill-area:python-data-pipelines",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:product-market-fit-assessment",
      "to": "skill-area:observability-pipeline",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:product-market-fit-assessment",
      "to": "domain:entrepreneurship",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:product-market-fit-assessment",
      "to": "domain:business-intelligence",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:product-market-fit-assessment",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:product-market-fit-assessment",
      "to": "responsibility:retro-facilitation",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:product-market-fit-assessment",
      "to": "org-unit:product-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:product-market-fit-assessment",
      "to": "org-unit:analytics-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": []
}