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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Purposedifferent
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.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.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.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.
Complexitydifferent
HighMediumHighHigh
Timedifferent
1-5 TageOngoing30-90 min Setup, danach laufend2-4 h
Participantsdifferent
4-122-121-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanKanban board, WIP policies, Flow metricsForecast Percentiles, Throughput Dataset, Risk CommunicationFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
ChangeSystems thinkingCapability
FlowVisual managementDelivery
ForecastingFlowDelivery
Theory of ConstraintsSystems thinkingChange
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