iiRecord
Agentic AI Atlas · A/B Test Lifecycle
workflow:a-b-test-lifecyclea5c.ai
II.
Workflow JSON

workflow:a-b-test-lifecycle

Structured · live

A/B Test Lifecycle json

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

File · workflows/workflows/workflows-expanded-2.yamlCluster · workflows
Record JSON
{
  "id": "workflow:a-b-test-lifecycle",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-expanded-2.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "A/B Test Lifecycle",
    "workflowKind": "development",
    "triggerType": "event-driven",
    "typicalCadence": "per-experiment",
    "complexity": "moderate",
    "description": "Full A/B experiment lifecycle — hypothesis documentation, sample size\ncalculation, experiment configuration, traffic allocation, monitoring,\nstatistical analysis, decision making, and cleanup. Includes\nguardrail metric monitoring throughout. Distinct from\nab-experiment-lifecycle in covering organizational governance.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:a-b-test-lifecycle",
      "to": "role:data-scientist",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:a-b-test-lifecycle",
      "to": "role:conversion-rate-optimizer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:a-b-test-lifecycle",
      "to": "role:growth-engineer",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:a-b-test-lifecycle",
      "to": "skill-area:experiment-design-AB-testing",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:a-b-test-lifecycle",
      "to": "skill-area:a-b-testing",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:a-b-test-lifecycle",
      "to": "skill-area:statistical-analysis",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:a-b-test-lifecycle",
      "to": "domain:data-science",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:a-b-test-lifecycle",
      "to": "responsibility:a-b-test-integrity",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:a-b-test-lifecycle",
      "to": "responsibility:experimentation-governance",
      "kind": "triggers_responsibility",
      "attributes": {}
    }
  ],
  "incomingEdges": [
    {
      "from": "tool:optimizely",
      "to": "workflow:a-b-test-lifecycle",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Optimizely is directly relevant to A/B test lifecycle projections."
      }
    },
    {
      "from": "tool-server:mcp-posthog",
      "to": "workflow:a-b-test-lifecycle",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Feature flags and experiment analysis support A/B lifecycle projections."
      }
    },
    {
      "from": "tool-server:mcp-amplitude",
      "to": "workflow:a-b-test-lifecycle",
      "kind": "supports_work",
      "attributes": {
        "confidence": "high",
        "evidence": "Experiment and cohort queries support A/B test lifecycle review."
      }
    }
  ]
}