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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Decision Matrix |  Product Strategy RICE Scoring |  Decision Making Trade-off Analysis |
|---|---|---|---|---|
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 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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 45-90 min | 60-90 min | 45-120 min |
Participantsdifferent | 1-8 | 2-8 | 2-10 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Decision Matrix, Scoring Rationale, Selected Option | RICE Scores, Ranked List, Assumption Log | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides |
Tagsno overlap | ForecastingFlowDelivery | DecisionCriteriaScoringTradeoffs | PrioritizationScoringRoadmapTradeoffs | TradeoffsDecisionCriteriaOptions |