iiRecord
Agentic AI Atlas · Campaign Post-Mortem Analysis
workflow:campaign-post-mortem-analysisa5c.ai
II.
Workflow JSON

workflow:campaign-post-mortem-analysis

Structured · live

Campaign Post-Mortem Analysis json

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

File · workflows/workflows/workflows-marketing-analytics.yamlCluster · workflows
Record JSON
{
  "id": "workflow:campaign-post-mortem-analysis",
  "_kind": "Workflow",
  "_file": "workflows/workflows/workflows-marketing-analytics.yaml",
  "_cluster": "workflows",
  "attributes": {
    "displayName": "Campaign Post-Mortem Analysis",
    "workflowKind": "governance",
    "triggerType": "event-driven",
    "typicalCadence": "per-campaign",
    "complexity": "cross-team",
    "description": "Conducts structured post-campaign debriefs to extract learnings and improve\nfuture execution — gathering performance data across all activated channels,\ncomparing actual results against pre-campaign success criteria and\nbenchmarks, identifying what worked and what underperformed with root-cause\nanalysis, documenting creative and targeting insights for the organizational\nknowledge base, updating campaign templates and playbooks based on learnings,\nand presenting findings with actionable recommendations to stakeholders.\nProduces campaign post-mortem reports, updated playbook entries, and\nbenchmark recalibration recommendations. Excludes ongoing campaign\noptimization and new campaign planning.\n"
  },
  "outgoingEdges": [
    {
      "from": "workflow:campaign-post-mortem-analysis",
      "to": "role:planner",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:campaign-post-mortem-analysis",
      "to": "role:data-analyst",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:campaign-post-mortem-analysis",
      "to": "role:business-analyst",
      "kind": "involves_role",
      "attributes": {}
    },
    {
      "from": "workflow:campaign-post-mortem-analysis",
      "to": "skill-area:data-analytics",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:campaign-post-mortem-analysis",
      "to": "skill-area:market-research",
      "kind": "requires_skill_area",
      "attributes": {}
    },
    {
      "from": "workflow:campaign-post-mortem-analysis",
      "to": "domain:marketing",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:campaign-post-mortem-analysis",
      "to": "domain:digital-marketing",
      "kind": "applies_to_domain",
      "attributes": {}
    },
    {
      "from": "workflow:campaign-post-mortem-analysis",
      "to": "responsibility:data-quality-monitoring",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:campaign-post-mortem-analysis",
      "to": "responsibility:retro-facilitation",
      "kind": "triggers_responsibility",
      "attributes": {}
    },
    {
      "from": "workflow:campaign-post-mortem-analysis",
      "to": "org-unit:marketing-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    },
    {
      "from": "workflow:campaign-post-mortem-analysis",
      "to": "org-unit:analytics-team",
      "kind": "performed_by_org_unit",
      "attributes": {}
    }
  ],
  "incomingEdges": [
    {
      "from": "tool:klaviyo",
      "to": "workflow:campaign-post-mortem-analysis",
      "kind": "supports_work",
      "attributes": {
        "confidence": "medium",
        "evidence": "Campaign metrics support post-mortem analysis."
      }
    }
  ]
}