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| Criterion |  Delivery Monte Carlo Forecasting |  Systems Thinking Future Reality Tree |  Decision Making Delphi Method |  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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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. | In dynamic situations, decisions become outdated faster than they can be prepared.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 | High | High | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 2-4 h | 1-4 Wochen | 15-60 min je Zyklus |
Participantsdifferent | 1-8 | 3-8 | 6-30 Experten | 1-8 |
Formatdifferent | Workshop + async | Workshop | Async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Expert Forecast, Consensus Range, Assumption Notes | Situation Assessment, Decision Loop, Action Updates |
Tagsno overlap | ForecastingFlowDelivery | Theory of ConstraintsSystems thinkingChange | ForecastingExpertsDecisionStrategy | DecisionChangeLearningStrategy |