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| Criterion |  Delivery Monte Carlo Forecasting |  Operations After-Action Review |  Decision Making Delphi Method |  Operations Theory of Constraints |
|---|---|---|---|---|
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. | After missions or project phases with unclear outcomes, the method makes visible what actually happened and what can be learned from it. It separates course, effect, and causes so experience turns into solid improvement. | 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. | For a system that does not get faster despite effort, the method directs attention to the bottleneck. It concentrates improvement on the point that actually limits throughput. |
Complexitydifferent | High | Low | High | High |
Timedifferent | 30-90 min Setup, danach laufend | 20-45 min | 1-4 Wochen | 2-4 h Analyse, laufend |
Participantsdifferent | 1-8 | 3-12 | 6-30 Experten | 3-12 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Lessons learned, Action items, Event summary | Expert Forecast, Consensus Range, Assumption Notes | Constraint Map, Improvement Plan, Flow Metrics |
Tagsno overlap | ForecastingFlowDelivery | LearningOperationsImprovement | ForecastingExpertsDecisionStrategy | OperationsConstraintsFlowImprovement |