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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Constraint Analysis |  Operations After-Action Review |  Operations ALPEN Method |
|---|---|---|---|---|
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 an initiative stalls, the limit often lies not in the idea but in hard or soft boundary conditions. Constraint Analysis separates these limits and shows which of them can actually be shaped. | 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. |
Complexitydifferent | High | Low | Low | Low |
Timedifferent | 30-90 min Setup, danach laufend | 30-90 min | 20-45 min | 10-20 min daily |
Participantsdifferent | 1-8 | 2-8 | 3-12 | 1 |
Formatdifferent | Workshop + async | Workshop + async | Workshop + async | Async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Lessons learned, Action items, Event summary | Daily Plan, Time Estimates, Review Notes |
Tagsno overlap | ForecastingFlowDelivery | ConstraintsDecisionPlanningOptions | LearningOperationsImprovement | PlanningTime managementProductivityOperations |