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| Criterion |  Delivery Monte Carlo Forecasting |  Delivery Value Stream Mapping |  Systems Thinking Evaporating Cloud |
|---|---|---|---|
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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. |
Complexitydifferent | High | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | 60-120 min |
Participantsdifferent | 1-8 | 4-10 | 2-8 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments |
Tagsno overlap | ForecastingFlowDelivery | LeanFlowWasteDelivery | Theory of ConstraintsAssumptionsSystems thinking |
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