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| Criterion |  Delivery Monte Carlo Forecasting |  Operations After-Action Review |  Operations Gemba Walk |
|---|---|---|---|
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 there is uncertainty about the real course of a process, the method brings observation to the place where work happens. It combines perception, follow-up questions, and process knowledge so decisions rest on actual workflows instead of assumptions. |
Complexitydifferent | High | Low | Low |
Timedifferent | 30-90 min Setup, danach laufend | 20-45 min | 30-120 min |
Participantsdifferent | 1-8 | 3-12 | 2-6 |
Formatdifferent | Workshop + async | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Lessons learned, Action items, Event summary | Observation Notes, Improvement Ideas |
Tagsno overlap | ForecastingFlowDelivery | LearningOperationsImprovement | LeanObservationProcessOperations |
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