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| Criterion |  Delivery Monte Carlo Forecasting |  Engineering Kanban |  DevOps Blameless Postmortem |  DevOps Incident Command |
|---|---|---|---|---|
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. | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | Ongoing | 30-90 min | As needed |
Participantsdifferent | 1-8 | 2-12 | 3-12 | 4-15 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Kanban board, WIP policies, Flow metrics | Postmortem Doc, Action Items, Timeline | Incident Log, Action Tracker, Stakeholder Updates |
Tagsno overlap | ForecastingFlowDelivery | FlowVisual managementDelivery | Site Reliability EngineeringIncidentLearningReliability | IncidentOperationsReliability |