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| Criterion |  Delivery Value Stream Mapping |  Product Strategy DIBB |  Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | 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. | DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report. | 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. |
Complexitydifferent | Medium | Low | High |
Timedifferent | 1-3 h | 1-2 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 4-10 | 2-8 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Current-state map, Future-state map, Bottleneck list | DIBB document, Belief list, Bet list, Learning report | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | LeanFlowWasteDelivery | StrategyDecisionAssumptionsHypothesis | ForecastingFlowDelivery |
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