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Agentic AI Atlas · DORA Metrics Framework
methodology:DORA-metrics-frameworka5c.ai
II.
Methodology JSON

methodology:DORA-metrics-framework

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DORA Metrics Framework json

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

File · domain/methodologies/methodologies-expanded.yamlCluster · domain
Record JSON
{
  "id": "methodology:DORA-metrics-framework",
  "_kind": "Methodology",
  "_file": "domain/methodologies/methodologies-expanded.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "DORA Metrics Framework",
    "description": "A research-backed framework measuring software delivery performance through\nfour key metrics: Deployment Frequency, Lead Time for Changes, Change Failure\nRate, and Mean Time to Recovery (MTTR). Teams are classified as Elite, High,\nMedium, or Low performers. The framework demonstrates that speed and stability\nare complementary, not trade-offs, and predicts organizational performance.\n",
    "methodologyKind": "measurement",
    "origin": "Nicole Forsgren, Jez Humble, Gene Kim (DORA/Google)",
    "yearIntroduced": "2014"
  },
  "outgoingEdges": [
    {
      "from": "methodology:DORA-metrics-framework",
      "to": "domain:devops",
      "kind": "applies_to"
    },
    {
      "from": "methodology:DORA-metrics-framework",
      "to": "domain:software-engineering",
      "kind": "applies_to"
    }
  ],
  "incomingEdges": []
}