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| Criterion |  Agile NoEstimates |  DevOps Incident Command |  DevOps Game Day |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
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. | 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. | 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. |
Complexitydifferent | Medium | Medium | High | High |
Timedifferent | laufend | As needed | Halber Tag | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 4-15 | 5-20 | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Throughput Data, Flow Forecast, Slicing Rules | Incident Log, Action Tracker, Stakeholder Updates | Simulation Notes, Gaps List, Updated Runbooks | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | EstimationForecastingFlow | IncidentOperationsReliability | ResilienceOperationsIncident | ForecastingFlowDelivery |