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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Force Field Analysis |  Decision Making Trade-off Analysis |  Decision Making OODA Loop |
|---|---|---|---|---|
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. | 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. | With limited resources, quality, speed, cost, and risk almost always compete with each other. Trade-off Analysis makes these tensions explicit and prevents decisions from producing hidden side effects. | In dynamic situations, decisions become outdated faster than they can be prepared.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. |
Complexitydifferent | High | Low | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 45-90 min | 45-120 min | 15-60 min je Zyklus |
Participantsdifferent | 1-8 | 3-12 | 2-8 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Force Field Map, Change Levers, Risk Notes | Trade-off Matrix, Criteria List, Decision Rationale, Accepted Downsides | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | ForecastingFlowDelivery | ChangeDecisionStrategy | TradeoffsDecisionCriteriaOptions | DecisionChangeLearningStrategy |