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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for Three-Point Estimation.
Decision Making
Three-Point Estimation
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
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.A single estimate for effort, time, or risk often looks too smooth for the real uncertainty behind it. It separates options, evaluation criteria, and open risks. The result is captured as a Three-Point Estimate, Risk Range, and Assumption Notes.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.
Complexitydifferent
HighMediumHighHigh
Timedifferent
1-5 Tage10-30 min je Item30-90 min Setup, danach laufendHalf day
Participantsdifferent
4-121-81-83-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanThree-Point Estimate, Risk Range, Assumption NotesForecast Percentiles, Throughput Dataset, Risk CommunicationLeverage Map, Action Strategy
Tagsno overlap
ChangeSystems thinkingCapability
EstimationUncertaintyForecasting
ForecastingFlowDelivery
Systems thinkingChangeStrategy
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