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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Delphi Method |  Decision Making OODA Loop |  Engineering Kanban |
|---|---|---|---|---|
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. | 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 | In dynamic situations, decisions become outdated faster than they can be prepared.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. | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. |
Complexitydifferent | High | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-4 Wochen | 15-60 min je Zyklus | Ongoing |
Participantsdifferent | 1-8 | 6-30 Experten | 1-8 | 2-12 |
Formatdifferent | Workshop + async | Async | Workshop + async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Expert Forecast, Consensus Range, Assumption Notes | Situation Assessment, Decision Loop, Action Updates | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | ForecastingFlowDelivery | ForecastingExpertsDecisionStrategy | DecisionChangeLearningStrategy | FlowVisual managementDelivery |