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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making OODA Loop |  Decision Making Delphi Method |  Delivery Cost of Delay |
|---|---|---|---|---|
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 | In dynamic situations, decisions become outdated faster than they can be prepared.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. | 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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. |
Complexitydifferent | High | Medium | High | High |
Timedifferent | 30-90 min Setup, danach laufend | 15-60 min je Zyklus | 1-4 Wochen | 90-180 min |
Participantsdifferent | 1-8 | 1-8 | 6-30 Experten | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Situation Assessment, Decision Loop, Action Updates | Expert Forecast, Consensus Range, Assumption Notes | CoD Table, Prioritization Sequence |
Tagsno overlap | ForecastingFlowDelivery | DecisionChangeLearningStrategy | ForecastingExpertsDecisionStrategy | PrioritizationDeliveryEconomicsDecision |