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Data & AI | Reading Module

Data and AI Incident Analytics and MTTx

Status: Not Started | Pass threshold: 100% | Points: 95

L2 25 min

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Learning Guidance

Objectives

  • Capture timeline fields required for consistent MTTx reporting.
  • Compute MTTD, MTTA, MTTI, and MTTR using shared definitions.
  • Separate mitigation from true resolution in incident summaries.

Evidence To Capture

  • Timeline with milestone timestamps
  • Evidence links per milestone
  • Impact scope and owner routing details

Source Artifacts

Internal source references are available for maintainers but are not exposed in deployed environments.

Field Evidence

Real incidents related to what you're learning.

Module Content

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Key Takeaways

  • triggered_at: first reliable incident signal
  • detected_at: first IM acknowledgement
  • owner_engaged_at: owner accepts action
  • mitigated_at: impact starts recovering
  • resolved_at: customer journey confirms recovery

Overview

Use this model for Data and AI incident reviews and gate readiness checks.

Required Fields

  • triggered_at: first reliable incident signal
  • detected_at: first IM acknowledgement
  • owner_engaged_at: owner accepts action
  • mitigated_at: impact starts recovering
  • resolved_at: customer journey confirms recovery

Formulas

  • MTTD = detected_at - triggered_at
  • MTTA = owner_engaged_at - detected_at
  • MTTI = mitigated_at - detected_at
  • MTTR = resolved_at - triggered_at

Quality Rules

  1. Use explicit date/time + timezone for all milestones.
  2. Attach evidence links for each timeline mark.
  3. Confirm customer impact and blast radius before closure.
  4. Capture follow-up monitor/runbook action for durable improvement.

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