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| Criterion |  Decision Making Option Framing |  Delivery Monte Carlo Forecasting |  Decision Making Decision Tree |
|---|---|---|---|
Purposedifferent | In early decisions, alternatives are often still vague, incomplete, or blended together. Option Framing brings every possibility into a comparable form and makes visible which variant actually fits the question. | 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. |
Complexitydifferent | Medium | High | Medium |
Timedifferent | 45-120 min | 30-90 min Setup, danach laufend | 30-90 min |
Participantsdifferent | 3-8 | 1-8 | 1-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Option Frames, Assumption Notes, Comparable Shortlist, Decision Inputs | Forecast Percentiles, Throughput Dataset, Risk Communication | Decision Tree, Option Map, Assumption List |
Tagsno overlap | OptionsDecision framingStrategyComparison | ForecastingFlowDelivery | DecisionTreeOptions |
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