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| Criterion |  Delivery Monte Carlo Forecasting |  Product Strategy ICE Scoring |  Decision Making Decision Matrix |  Product Strategy RICE Scoring |
|---|---|---|---|---|
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 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. | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 30-60 min | 45-90 min | 60-90 min |
Participantsdifferent | 1-8 | 2-8 | 2-8 | 2-10 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | ICE Table, Top Idea List | Decision Matrix, Scoring Rationale, Selected Option | RICE Scores, Ranked List, Assumption Log |
Tagsno overlap | ForecastingFlowDelivery | PrioritizationScoringGrowthDecision | DecisionCriteriaScoringTradeoffs | PrioritizationScoringRoadmapTradeoffs |