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| Criterion |  Delivery Monte Carlo Forecasting |  Product Strategy RICE Scoring |  Decision Making Constraint 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. | When many initiatives compete for the same resources, it brings reach, impact, confidence, and effort into one shared ranking. It makes prioritization economically connectable. | When an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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 | Medium | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 60-90 min | 30-90 min | 45-90 min |
Participantsdifferent | 1-8 | 2-10 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | RICE Scores, Ranked List, Assumption Log | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | ForecastingFlowDelivery | PrioritizationScoringRoadmapTradeoffs | ConstraintsDecisionPlanningOptions | DecisionCriteriaScoringTradeoffs |