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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Decision Tree |  Product Strategy DIBB |  Decision Making Assumption Surfacing |
|---|---|---|---|---|
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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. |
Complexitydifferent | High | Medium | Low | Low |
Timedifferent | 30-90 min Setup, danach laufend | 30-90 min | 1-2 h | 45-90 min |
Participantsdifferent | 1-8 | 1-6 | 2-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Decision Tree, Option Map, Assumption List | DIBB document, Belief list, Bet list, Learning report | Assumption List, Critical Assumptions, Learning Plan |
Tagsno overlap | ForecastingFlowDelivery | DecisionTreeOptions | StrategyDecisionAssumptionsHypothesis | AssumptionsRiskDecisionDiscovery |