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| Criterion |  Delivery Monte Carlo Forecasting |  DevOps Game Day |  Delivery Value Stream Mapping |
|---|---|---|---|
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. | When delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. |
Complexitydifferent | High | High | Medium |
Timedifferent | 30-90 min Setup, danach laufend | Halber Tag | 1-3 h |
Participantsdifferent | 1-8 | 5-20 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Simulation Notes, Gaps List, Updated Runbooks | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | ForecastingFlowDelivery | ResilienceOperationsIncident | LeanFlowWasteDelivery |
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