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| Criterion |  Engineering Kanban |  Systems Thinking Leverage Points |  Systems Thinking Intervention 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. | Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy. | Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain. | 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 | High | High | High |
Timedifferent | Ongoing | Half day | 1-5 Tage | 30-90 min Setup, danach laufend |
Participantsdifferent | 2-12 | 3-12 | 4-12 | 1-8 |
Formatdifferent | Workshop + async | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Kanban board, WIP policies, Flow metrics | Leverage Map, Action Strategy | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | FlowVisual managementDelivery | Systems thinkingChangeStrategy | ChangeSystems thinkingCapability | ForecastingFlowDelivery |