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| Criterion |  Delivery Value Stream Mapping |  Decision Making Decision Tree |  Engineering Kanban |  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. | For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch. | When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable. | 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 | Medium | Medium | High |
Timedifferent | 1-3 h | 30-90 min | Ongoing | 30-90 min Setup, danach laufend |
Participantsdifferent | 4-10 | 1-6 | 2-12 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Current-state map, Future-state map, Bottleneck list | Decision Tree, Option Map, Assumption List | Kanban board, WIP policies, Flow metrics | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | LeanFlowWasteDelivery | DecisionTreeOptions | FlowVisual managementDelivery | ForecastingFlowDelivery |