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| Criterion |  Delivery Monte Carlo Forecasting |  Knowledge Modeling Knowledge Mapping |  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. | Knowledge Mapping makes knowledge, gaps, and transfer paths visible across a field. It fits when expertise should not just exist but also be findable and transferable. | 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 | 1-3 h | Ongoing | 1-3 h |
Participantsdifferent | 1-8 | 3-12 | 2-12 | 4-10 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop |
Outputdifferent | Forecast Percentiles, Throughput Dataset, Risk Communication | Knowledge Map, Critical Knowledge Areas, Transfer Plan | Kanban board, WIP policies, Flow metrics | Current-state map, Future-state map, Bottleneck list |
Tagsno overlap | ForecastingFlowDelivery | KnowledgeMappingRisk | FlowVisual managementDelivery | LeanFlowWasteDelivery |