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| Criterion |  Operations After-Action Review |  Operations ABC Analysis |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | 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. | With many similar objects of differing economic significance, the method prioritizes effort by effect. It separates what needs regular steering from what rarely needs attention. | 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. |
Complexitydifferent | Low | Low | High |
Timedifferent | 20-45 min | 30-60 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-12 | 1-5 | 1-8 |
Formatdifferent | Workshop + async | Async | Workshop + async |
Outputdifferent | Lessons learned, Action items, Event summary | ABC Classification, Focus Rules, Control List | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | LearningOperationsImprovement | PrioritizationOperationsPortfolio | ForecastingFlowDelivery |
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