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| Criterion |  DevOps Incident Command |  Delivery Monte Carlo Forecasting |  Agile NoEstimates |  DevOps Blameless Postmortem |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. |
Complexitydifferent | Medium | High | Medium | Medium |
Timedifferent | As needed | 30-90 min Setup, danach laufend | laufend | 30-90 min |
Participantsdifferent | 4-15 | 1-8 | 2-12 | 3-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Incident Log, Action Tracker, Stakeholder Updates | Forecast Percentiles, Throughput Dataset, Risk Communication | Throughput Data, Flow Forecast, Slicing Rules | Postmortem Doc, Action Items, Timeline |
Tagsno overlap | IncidentOperationsReliability | ForecastingFlowDelivery | EstimationForecastingFlow | Site Reliability EngineeringIncidentLearningReliability |