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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Assumption Surfacing |  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. | Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it. | 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 | 45-90 min | 45-90 min |
Participantsdifferent | 1-8 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Assumption List, Critical Assumptions, Learning Plan | Decision Matrix, Scoring Rationale, Selected Option |
Tagsno overlap | ForecastingFlowDelivery | AssumptionsRiskDecisionDiscovery | DecisionCriteriaScoringTradeoffs |
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