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| Criterion |  Decision Making Three-Point Estimation |  Decision Making Decision Tree |  Delivery Monte Carlo Forecasting |  Decision Making Constraint Analysis |
|---|---|---|---|---|
Purposedifferent | A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes. | 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. | 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 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. |
Complexitydifferent | Medium | Medium | High | Low |
Timedifferent | 10-30 min je Item | 30-90 min | 30-90 min Setup, danach laufend | 30-90 min |
Participantsdifferent | 1-8 | 1-6 | 1-8 | 2-8 |
Formatsame | Workshop + async | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Three-Point Estimate, Risk Range, Assumption Notes | Decision Tree, Option Map, Assumption List | Forecast Percentiles, Throughput Dataset, Risk Communication | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries |
Tagsno overlap | EstimationUncertaintyForecasting | DecisionTreeOptions | ForecastingFlowDelivery | ConstraintsDecisionPlanningOptions |