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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
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.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.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.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.
Complexitydifferent
HighHighHighMedium
Timedifferent
1-5 Tage30-90 min Setup, danach laufendHalf dayOngoing
Participantsdifferent
4-121-83-122-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanForecast Percentiles, Throughput Dataset, Risk CommunicationLeverage Map, Action StrategyKanban board, WIP policies, Flow metrics
Tagsno overlap
ChangeSystems thinkingCapability
ForecastingFlowDelivery
Systems thinkingChangeStrategy
FlowVisual managementDelivery
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