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| Criterion |  Delivery Monte Carlo Forecasting |  Operations ABC Analysis |  Decision Making Decision Matrix |
|---|---|---|---|
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 many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | When several options collide with several criteria, comparison quickly becomes subjective. A Decision Matrix makes the trade-off visible and brings weighting, criteria, and options into a shared logic. |
Complexitydifferent | High | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | 45-90 min |
Participantsdifferent | 1-8 | 1-5 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | ABC Classification, Focus Rules, Control List | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | ForecastingFlowDelivery | PrioritizationOperationsPortfolio | DecisionCriteriaScoringTradeoffs |
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