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| Criterion |  Decision Making Decision Tree |  Delivery Monte Carlo Forecasting |  Delivery Communication Plan |
|---|---|---|---|
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. |
Complexitydifferent | Medium | High | Low |
Timedifferent | 30-90 min | 30-90 min Setup, danach laufend | 45-90 min |
Participantsdifferent | 1-6 | 1-8 | 2-6 |
Formatsame | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Decision Tree, Option Map, Assumption List | Forecast Percentiles, Throughput Dataset, Risk Communication | Communication Plan, Channel Matrix, Message Cadence |
Tagsno overlap | DecisionTreeOptions | ForecastingFlowDelivery | CommunicationStakeholdersDeliveryPlanning |
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