Dataset entry

Mdg Metric Decision Playbooks V0 1

DAMA mdg_byte mdg_metric_decision_playbooks_v0_1
Translate breached metrics into deterministic governance actions via linked Decision Blocks.

Attribution

Creator: Dzmitryi Kharlanau (SAP Lead).

Canonical: https://dkharlanau.github.io/datasets/DAMA/mdg_metric_decision_playbooks_v0_1.json

LinkedIn

JSON (copy / reuse)
{
  "id": "mdg_metric_decision_playbooks_v0_1",
  "purpose": "Translate breached metrics into deterministic governance actions via linked Decision Blocks.",
  "rules": [
    "React to trends, not single spikes",
    "Prefer smallest viable intervention",
    "Escalate only if previous step failed"
  ],
  "playbooks": [
    {
      "metric_id": "bypass_rate",
      "when": {
        "warning": ">5% for 2 consecutive periods",
        "critical": ">10% in any period"
      },
      "diagnosis_hypotheses": [
        "Governance friction too high",
        "Wrong tiering for attribute groups",
        "Approval cycle time too long",
        "Rules misaligned with business flow"
      ],
      "decision_blocks": [
        "db_domain_attribute_prioritization_scope_v0_1",
        "db_change_management_for_governance_v0_1",
        "db_rule_lifecycle_management_keep_kill_simplify_v0_1"
      ],
      "actions": {
        "warning": [
          "Identify top bypassed attribute groups (top 5)",
          "Re-tier low-impact attributes to Tier 3",
          "Downgrade selected blocking rules to warnings",
          "Communicate intent and temporary tolerance window"
        ],
        "critical": [
          "Freeze new governance scope immediately",
          "Trigger keep/kill/simplify review for top rules",
          "Shorten approval paths for Tier 3",
          "Assign executive sponsor for Tier 1 friction review"
        ]
      },
      "success_criteria": [
        "Bypass rate decreases within 2 periods",
        "No increase in Tier 1 incidents"
      ]
    },
    {
      "metric_id": "approval_cycle_time_p90",
      "when": {
        "warning": ">3d",
        "critical": ">7d"
      },
      "diagnosis_hypotheses": [
        "Owner capacity overload",
        "Too many attributes routed to same approver",
        "Over-scoped Tier 1",
        "Missing backup approvers"
      ],
      "decision_blocks": [
        "db_operating_model_day2_day100_v0_1",
        "db_attribute_level_ownership_decision_rights_v0_1",
        "db_domain_attribute_prioritization_scope_v0_1"
      ],
      "actions": {
        "warning": [
          "Add backup approvers for overloaded owners",
          "Shift non-critical attributes to Tier 2/3 routing",
          "Introduce SLA-based escalation"
        ],
        "critical": [
          "Reassign ownership for overloaded attribute groups",
          "Split attribute groups by decision complexity",
          "Temporarily relax approvals for Tier 3"
        ]
      },
      "success_criteria": [
        "p90 returns below threshold",
        "No spike in rework or bypass"
      ]
    },
    {
      "metric_id": "exception_repeat_rate",
      "when": {
        "warning": ">20%",
        "critical": ">35%"
      },
      "diagnosis_hypotheses": [
        "Rule design incorrect",
        "Enforcement point wrong",
        "Business reality not reflected in rules"
      ],
      "decision_blocks": [
        "db_rule_lifecycle_management_keep_kill_simplify_v0_1"
      ],
      "actions": {
        "warning": [
          "Identify top repeating exceptions (top 3)",
          "Review rule rationale and scope",
          "Add expiry and tighter criteria to exceptions"
        ],
        "critical": [
          "Simplify or retire offending rules",
          "Move rule from error to warning or derivation",
          "Redesign rule with owner and business examples"
        ]
      },
      "success_criteria": [
        "Repeat exceptions decrease next period",
        "Blocking error rate does not increase"
      ]
    },
    {
      "metric_id": "manual_post_replication_fix_rate",
      "when": {
        "warning": ">3%",
        "critical": ">7%"
      },
      "diagnosis_hypotheses": [
        "Semantic gaps between MDG and downstream",
        "Reference/customizing mismatch",
        "Silent operational fixes"
      ],
      "decision_blocks": [
        "db_replication_errors_accountability_runbook_v0_1"
      ],
      "actions": {
        "warning": [
          "Enforce no-silent-fix policy",
          "Classify top errors by category",
          "Align reference data/customizing"
        ],
        "critical": [
          "Block downstream manual fixes",
          "Force correction at source (MDG)",
          "Escalate to architecture for enforcement redesign"
        ]
      },
      "success_criteria": [
        "Manual fixes trend down",
        "Replication success rate improves"
      ]
    },
    {
      "metric_id": "decision_consistency_rate",
      "when": {
        "warning": "<85%",
        "critical": "<70%"
      },
      "diagnosis_hypotheses": [
        "Decision rights unclear",
        "Owners apply different criteria",
        "Rules or definitions ambiguous"
      ],
      "decision_blocks": [
        "db_attribute_level_ownership_decision_rights_v0_1",
        "db_rule_lifecycle_management_keep_kill_simplify_v0_1"
      ],
      "actions": {
        "warning": [
          "Align decision criteria with examples",
          "Update glossary and rule descriptions",
          "Run calibration session with owners"
        ],
        "critical": [
          "Reassign accountable owner for affected groups",
          "Introduce peer review for high-risk decisions",
          "Freeze rule changes until criteria stabilized"
        ]
      },
      "success_criteria": [
        "Consistency rate improves",
        "Reversal rate decreases"
      ]
    },
    {
      "metric_id": "ownership_coverage_tier1",
      "when": {
        "warning": "<95%",
        "critical": "<85%"
      },
      "diagnosis_hypotheses": [
        "Governance capacity insufficient",
        "Ownership defined too broadly",
        "No backup owners"
      ],
      "decision_blocks": [
        "db_attribute_level_ownership_decision_rights_v0_1",
        "db_domain_attribute_prioritization_scope_v0_1"
      ],
      "actions": {
        "warning": [
          "Assign missing owners and backups",
          "Reduce Tier 1 scope if needed"
        ],
        "critical": [
          "Pause new Tier 1 controls",
          "Re-tier attribute groups to match capacity",
          "Escalate to governance sponsor"
        ]
      },
      "success_criteria": [
        "Tier 1 coverage restored",
        "Approval SLAs stabilize"
      ]
    }
  ],
  "ai_execution_note": "AI should select the playbook based on breached metric and severity, summarize diagnosis, propose actions in order, and track outcomes against success criteria.",
  "version": "0.1",
  "status": "draft",
  "meta": {
    "schema": "dkharlanau.dataset.byte",
    "schema_version": "1.1",
    "dataset": "DAMA",
    "source_project": "cv-ai",
    "source_path": "DAMA/mdg_metric_decision_playbooks_v0_1.json",
    "generated_at_utc": "2026-02-03T14:33:32+00:00",
    "creator": {
      "name": "Dzmitryi Kharlanau",
      "role": "SAP Lead",
      "website": "https://dkharlanau.github.io",
      "linkedin": "https://www.linkedin.com/in/dkharlanau"
    },
    "attribution": {
      "attribution_required": true,
      "preferred_citation": "Dzmitryi Kharlanau (SAP Lead). Dataset bytes: https://dkharlanau.github.io"
    },
    "license": {
      "name": "",
      "spdx": "",
      "url": ""
    },
    "links": {
      "website": "https://dkharlanau.github.io",
      "linkedin": "https://www.linkedin.com/in/dkharlanau"
    },
    "contact": {
      "preferred": "linkedin",
      "linkedin": "https://www.linkedin.com/in/dkharlanau"
    },
    "canonical_url": "https://dkharlanau.github.io/datasets/DAMA/mdg_metric_decision_playbooks_v0_1.json",
    "created_at_utc": "2026-02-03T14:33:32+00:00",
    "updated_at_utc": "2026-02-03T15:29:02+00:00",
    "provenance": {
      "source_type": "chat_export_extraction",
      "note": "Extracted and curated by Dzmitryi Kharlanau; enriched for attribution and crawler indexing."
    },
    "title_inferred": true,
    "entity_type": "mdg_byte",
    "entity_subtype": "version:0.1",
    "summary": "Translate breached metrics into deterministic governance actions via linked Decision Blocks."
  },
  "title": "Mdg Metric Decision Playbooks V0 1"
}