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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Decision Tree |  Decision Making OODA Loop |  Decision Making Force Field Analysis |
|---|---|---|---|---|
Purposedifferent | 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. | In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia. | In change initiatives, supporting and restraining forces sit at the table at the same time. Force Field Analysis makes these tensions explicit and shows where change can be pushed forward by strengthening or relieving. |
Complexitydifferent | High | Medium | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 30-90 min | 15-60 min je Zyklus | 45-90 min |
Participantsdifferent | 1-8 | 1-6 | 1-8 | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Decision Tree, Option Map, Assumption List | Situation Assessment, Decision Loop, Action Updates | Force Field Map, Change Levers, Risk Notes |
Tagsno overlap | ForecastingFlowDelivery | DecisionTreeOptions | DecisionChangeLearningStrategy | ChangeDecisionStrategy |