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| Criterion |  Engineering Kanban |  Delivery Value Stream Mapping |  Decision Making Cynefin Workshop |  Delivery Monte Carlo Forecasting |
|---|---|---|---|---|
Purposedifferent | 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. | When problems are unclear, chaotic, or only seemingly familiar, standard recipes fall short. A Cynefin Workshop sorts situations by the nature of their problem and connects them with matching action logic. | 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 | Ongoing | 1-3 h | 60-180 min | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 4-10 | 4-20 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Current-state map, Future-state map, Bottleneck list | Cynefin Map, Domain-specific Actions, Sensemaking Notes | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FlowVisual managementDelivery | LeanFlowWasteDelivery | ComplexitySensemakingDecision | ForecastingFlowDelivery |