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| Criterion |  Delivery Monte Carlo Forecasting |  Decision Making Pre-Mortem |  Operations Bottleneck Analysis |  Delivery Cost of Delay |
|---|---|---|---|---|
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. | 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. | Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence. |
Complexitydifferent | High | Low | Medium | High |
Timedifferent | 30-90 min Setup, danach laufend | 20–45 min | 1-3 h | 90-180 min |
Participantsdifferent | 1-8 | Small cross-functional group | 3-8 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Risk list, Mitigation plan, Assumption log | Bottleneck Map, Flow Metrics, Improvement Options, Follow-up Measures | CoD Table, Prioritization Sequence |
Tagsno overlap | ForecastingFlowDelivery | RiskDecisionFailurePlanning | FlowMeasurementConstraints | PrioritizationDeliveryEconomicsDecision |