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| Criterion |  Delivery Monte Carlo Forecasting |  Systems Thinking Evaporating Cloud |  Engineering Kanban |  Delivery Value Stream Mapping |
|---|---|---|---|---|
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. | The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict. | 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. | 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. |
Complexitydifferent | High | Medium | Medium | Medium |
Timedifferent | 30-90 min Setup, danach laufend | 60-120 min | Ongoing | 1-3 h |
Participantsdifferent | 1-8 | 2-8 | 2-12 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Conflict Cloud, Assumption List, Breakthrough Ideas, Next Experiments | Kanban board, WIP policies, Flow metrics | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | ForecastingFlowDelivery | Theory of ConstraintsAssumptionsSystems thinking | FlowVisual managementDelivery | LeanFlowWasteDelivery |