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| Criterion |  Delivery Monte Carlo Forecasting |  Delivery Value Stream Mapping |  Decision Making DACI |
|---|---|---|---|
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. | 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. | In cross-functional decisions, responsibilities quickly blur between approval, influence, and execution. DACI arranges these roles so decision pressure, contribution, and information stay cleanly separated. |
Complexitydifferent | High | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | 30-60 min |
Participantsdifferent | 1-8 | 4-10 | 2-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list | DACI Matrix, Decision Owner, Decision Log |
Tagsno overlap | ForecastingFlowDelivery | LeanFlowWasteDelivery | DecisionRolesGovernanceAlignment |
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