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| Criterion |  Systems Thinking Leverage Points |  Delivery Monte Carlo Forecasting |  Engineering Kanban |  Systems Thinking Intervention Mapping |
|---|---|---|---|---|
Purposedifferent | 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. | 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. | 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. | 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. |
Complexitydifferent | High | High | Medium | High |
Timedifferent | Half day | 30-90 min Setup, danach laufend | Ongoing | 1-5 Tage |
Participantsdifferent | 3-12 | 1-8 | 2-12 | 4-12 |
Formatdifferent | Workshop | Workshop + async | Workshop + async | Workshop + async |
Outputdifferent | Leverage Map, Action Strategy | Forecast Percentiles, Throughput Dataset, Risk Communication | Kanban board, WIP policies, Flow metrics | Logic Model, Change Objectives, Intervention Components, Evaluation Plan |
Tagsno overlap | Systems thinkingChangeStrategy | ForecastingFlowDelivery | FlowVisual managementDelivery | ChangeSystems thinkingCapability |