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| Criterion |  Delivery Monte Carlo Forecasting |  Operations ABC Analysis |  Product Strategy ICE Scoring |  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 ideas need sorting quickly, it condenses impact, confidence, and effort into one compact score. It connects customer value, product logic, and decision priorities. The result is captured as an ICE table and top-ideas list. | 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 | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | 30-60 min | 45-90 min |
Participantsdifferent | 1-8 | 1-5 | 2-8 | 2-8 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | ABC Classification, Focus Rules, Control List | ICE Table, Top Idea List | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | ForecastingFlowDelivery | PrioritizationOperationsPortfolio | PrioritizationScoringGrowthDecision | DecisionCriteriaScoringTradeoffs |