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| Criterion | ![]() Operations RACI Matrix | ![]() Delivery Monte Carlo Forecasting |
|---|---|---|
Purposedifferent | 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. | 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 | Low | High |
Timedifferent | 45-90 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-8 | 1-8 |
Formatsame | Workshop + async | Workshop + async |
Outputdifferent | RACI Matrix, Responsibility Map, Decision Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | RolesResponsibilityGovernanceOperations | ForecastingFlowDelivery |
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