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| Criterion |  Delivery Monte Carlo Forecasting |  Operations After-Action Review |  Operations ALPEN Method |  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. | 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 an overloaded day full of too many tasks, a realistic picture of the day emerges. The method connects estimating, deciding, and buffer thinking so planning fits available energy and time. | 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 | Low | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 20-45 min | 10-20 min daily | Ongoing |
Participantsdifferent | 1-8 | 3-12 | 1 | 2-12 |
Formatdifferent | Workshop + async | Workshop + async | Async | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Lessons learned, Action items, Event summary | Daily Plan, Time Estimates, Review Notes | Kanban board, WIP policies, Flow metrics |
Tagsno overlap | ForecastingFlowDelivery | LearningOperationsImprovement | PlanningTime managementProductivityOperations | FlowVisual managementDelivery |