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| Criterion |  Delivery Monte Carlo Forecasting |  Operations Bottleneck Analysis |  DevOps Incident Command |  DevOps Game Day |
|---|---|---|---|---|
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. | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. | 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. | 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. |
Complexitydifferent | High | Medium | Medium | High |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | As needed | Halber Tag |
Participantsdifferent | 1-8 | 3-8 | 4-15 | 5-20 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | Incident Log, Action Tracker, Stakeholder Updates | Simulation Notes, Gaps List, Updated Runbooks |
Tagsno overlap | ForecastingFlowDelivery | FlowMeasurementConstraints | IncidentOperationsReliability | ResilienceOperationsIncident |