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| Criterion |  Delivery Monte Carlo Forecasting |  DevOps Blameless Postmortem |  DevOps Incident Command |  DevOps Incident Timeline Analysis |
|---|---|---|---|---|
Purposedifferent | Helps clarify scope, sequence, and delivery flow in concrete terms. It makes work, boundaries, and order steerable. The result is captured as Forecast Percentiles, Throughput Dataset, and Risk Communication. | After an incident with damage or a near miss, the method creates a sober field for learning without assigning blame. It directs attention to the course of events, conditions, and effective countermeasures. | During an acute incident with several people involved, the method creates a clear leadership and communication structure. It reduces chaos when fast coordination and clean situational awareness are both needed at once. | For an incident with an unclear sequence, the method makes the timeline precisely visible. It separates perception, reaction, and delay so cause and effect become more clearly readable. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 30-90 min | As needed | 60-180 min |
Participantsdifferent | 1-8 | 3-12 | 4-15 | 3-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Postmortem Doc, Action Items, Timeline | Incident Log, Action Tracker, Stakeholder Updates | Incident Timeline, Evidence Log, Delay Analysis, Improvement Actions |
Tagsno overlap | ForecastingFlowDelivery | Site Reliability EngineeringIncidentLearningReliability | IncidentOperationsReliability | IncidentTimelineSite Reliability Engineering |