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| Criterion |  Delivery Monte Carlo Forecasting |  Operations After-Action Review |  DevOps Blameless Postmortem |
|---|---|---|---|
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 missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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 | High | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 20-45 min | 30-90 min |
Participantsdifferent | 1-8 | 3-12 | 3-12 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Lessons learned, Action items, Event summary | Postmortem Doc, Action Items, Timeline |
Tagsno overlap | ForecastingFlowDelivery | LearningOperationsImprovement | Site Reliability EngineeringIncidentLearningReliability |
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