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| Criterion |  Decision Making Option Framing |  Delivery Monte Carlo Forecasting |  Decision Making Decision Tree |  Decision Making Delphi Method |
|---|---|---|---|---|
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. | When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together. |
Complexitydifferent | Medium | High | Medium | High |
Timedifferent | 45-120 min | 30-90 min Setup, danach laufend | 30-90 min | 1-4 Wochen |
Participantsdifferent | 3-8 | 1-8 | 1-6 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Option Frames, Assumption Notes, Comparable Shortlist, Decision Inputs | Forecast Percentiles, Throughput Dataset, Risk Communication | Decision Tree, Option Map, Assumption List | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | OptionsDecision framingStrategyComparison | ForecastingFlowDelivery | DecisionTreeOptions | ForecastingExpertsDecisionStrategy |