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| Criterion |  Delivery Monte Carlo Forecasting |  DevOps Game Day |  DevOps Incident Command |  Engineering Kanban |
|---|---|---|---|---|
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. | In preparing for rare incidents, the method tests response capability under controlled conditions. It shows where assumptions about stability, roles, and recovery are too optimistic. | 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. | 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. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | Halber Tag | As needed | Ongoing |
Participantsdifferent | 1-8 | 5-20 | 4-15 | 2-12 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Simulation Notes, Gaps List, Updated Runbooks | Incident Log, Action Tracker, Stakeholder Updates | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | ForecastingFlowDelivery | ResilienceOperationsIncident | IncidentOperationsReliability | FlowVisual managementDelivery |