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| Criterion |  Engineering Kanban |  Knowledge Modeling IBIS |  Delivery Value Stream Mapping |  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. | IBIS structures thinking about complex questions as a sequence of issues, ideas, and arguments. The method keeps discussions open without forcing them into premature consensus. | 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. | 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 | 1-3 h | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 2-8 | 4-10 | 1-8 |
Formatdifferent | Workshop + async | Workshop + async | Workshop | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Issue Map, Positions, Argument Notes | Current-state map, Future-state map, Bottleneck list | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FlowVisual managementDelivery | RationaleKnowledgeDecision | LeanFlowWasteDelivery | ForecastingFlowDelivery |