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| Criterion |  Decision Making Decision Tree |  Delivery Monte Carlo Forecasting |  Delivery Communication Plan |  Decision Making Delphi Method |
|---|---|---|---|---|
Purposedifferent | 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 many people need to be informed in parallel and messages would otherwise arrive unevenly or too late, a Communication Plan orders communication reliably. Channels, audiences, and cadences interlock so important information doesn't get lost. | 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 | Low | High |
Timedifferent | 30-90 min | 30-90 min Setup, danach laufend | 45-90 min | 1-4 Wochen |
Participantsdifferent | 1-6 | 1-8 | 2-6 | 6-30 Experten |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Forecast Percentiles, Throughput Dataset, Risk Communication | Communication Plan, Channel Matrix, Message Cadence | Expert Forecast, Consensus Range, Assumption Notes |
Tagsno overlap | DecisionTreeOptions | ForecastingFlowDelivery | CommunicationStakeholdersDeliveryPlanning | ForecastingExpertsDecisionStrategy |