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| Criterion |  Delivery Monte Carlo Forecasting |  Operations ABC Analysis |  DevOps Game Day |  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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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. |
Complexitydifferent | High | Low | High | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | Halber Tag | As needed |
Participantsdifferent | 1-8 | 1-5 | 5-20 | 4-15 |
Formatdifferent | Workshop + async | Async | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | ABC Classification, Focus Rules, Control List | Simulation Notes, Gaps List, Updated Runbooks | Incident Log, Action Tracker, Stakeholder Updates |
Tagsno overlap | ForecastingFlowDelivery | PrioritizationOperationsPortfolio | ResilienceOperationsIncident | IncidentOperationsReliability |