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| Criterion | ![]() Delivery Monte Carlo Forecasting | ![]() Delivery Value Stream Mapping | ![]() Decision Making Pre-Mortem |
|---|---|---|---|
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 delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible. | 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. |
Complexitydifferent | High | Medium | Low |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | 20–45 min |
Participantsdifferent | 1-8 | 4-10 | Small cross-functional group |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list | Risk list, Mitigation plan, Assumption log |
Tagsno overlap | ForecastingFlowDelivery | LeanFlowWasteDelivery | RiskDecisionFailurePlanning |
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