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| Criterion |  Agile NoEstimates |  Delivery Monte Carlo Forecasting |  DevOps Incident Command |  DevOps Game Day |
|---|---|---|---|---|
Purposedifferent | When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules. | 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. | 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 | Medium | High | Medium | High |
Timedifferent | laufend | 30-90 min Setup, danach laufend | As needed | Halber Tag |
Participantsdifferent | 2-12 | 1-8 | 4-15 | 5-20 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Forecast Percentiles, Throughput Dataset, Risk Communication | Incident Log, Action Tracker, Stakeholder Updates | Simulation Notes, Gaps List, Updated Runbooks |
Tagsno overlap | EstimationForecastingFlow | ForecastingFlowDelivery | IncidentOperationsReliability | ResilienceOperationsIncident |