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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Constraint Analysis |  Decision Making Pre-Mortem |  Operations Bottleneck Analysis |
|---|---|---|---|---|
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. | In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures. | For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput. |
Complexitydifferent | High | Low | Low | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 30-90 min | 20–45 min | 1-3 h |
Participantsdifferent | 1-8 | 2-8 | Small cross-functional group | 3-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Constraint List, Hard/Soft Classification, Option Impact Notes, Decision Boundaries | Risk list, Mitigation plan, Assumption log | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures |
Tagsno overlap | ForecastingFlowDelivery | ConstraintsDecisionPlanningOptions | RiskDecisionFailurePlanning | FlowMeasurementConstraints |