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| Criterion |  Decision Making Three-Point Estimation |  Decision Making Decision Tree |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
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. |
Complexitydifferent | Medium | Medium | High |
Timedifferent | 10-30 min je Item | 30-90 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 1-8 | 1-6 | 1-8 |
Formatsame | 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 |
Tagsno overlap | EstimationUncertaintyForecasting | DecisionTreeOptions | ForecastingFlowDelivery |
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Methods with strong topical overlap with the current selection, not yet in the comparison.
