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| Criterion |  Delivery Monte Carlo Forecasting |  Operations RACI Matrix |  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. | With unclear responsibilities across several roles or areas, the method creates unambiguous accountability logic. It reduces friction because decision, execution, contribution, and information become separately visible. | 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 | Low | Low |
Timedifferent | 30-90 min Setup, danach laufend | 45-90 min | 30-60 min |
Participantsdifferent | 1-8 | 2-8 | 2-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | RACI Matrix, Responsibility Map, Decision Notes | DACI Matrix, Decision Owner, Decision Log |
Tagsno overlap | ForecastingFlowDelivery | RolesResponsibilityGovernanceOperations | DecisionRolesGovernanceAlignment |
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