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| Criterion | ![]() Systems Thinking Future Reality Tree | ![]() Systems Thinking Intervention Mapping | ![]() Delivery Monte Carlo Forecasting |
|---|---|---|---|
Purposedifferent | A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation. | 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. |
Complexitysame | High | High | High |
Timedifferent | 2-4 h | 1-5 Tage | 30-90 min Setup, danach laufend |
Participantsdifferent | 3-8 | 4-12 | 1-8 |
Formatdifferent | Workshop | Workshop + async | Workshop + async |
Outputdifferent | Future Reality Tree, Negative Branches, Assumption List, Improved Injections | Logic Model, Change Objectives, Intervention Components, Evaluation Plan | Forecast Percentiles, Throughput Dataset, Risk Communication |
Tagsno overlap | Theory of ConstraintsSystems thinkingChange | ChangeSystems thinkingCapability | ForecastingFlowDelivery |
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