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| Criterion |  Delivery Monte Carlo Forecasting |  Delivery Value Stream Mapping |  Systems Thinking Future Reality Tree |
|---|---|---|---|
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. | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. |
Complexitydifferent | High | Medium | High |
Timedifferent | 30-90 min Setup, danach laufend | 1-3 h | 2-4 h |
Participantsdifferent | 1-8 | 4-10 | 3-8 |
Formatdifferent | Workshop + async | Workshop | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Current-state map, Future-state map, Bottleneck list | Future Reality Tree, Negative Branches, Assumption List, Improved Injections |
Tagsno overlap | ForecastingFlowDelivery | LeanFlowWasteDelivery | Theory of ConstraintsSystems thinkingChange |
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