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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Current Reality Tree
Systems Thinking
Current 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.For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.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 Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.
Complexitydifferent
HighMediumHighHigh
Timedifferent
1-5 Tage1-3 h30-90 min Setup, danach laufend2-6 h
Participantsdifferent
4-123-81-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresForecast Percentiles, Throughput Dataset, Risk CommunicationCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
ChangeSystems thinkingCapability
FlowMeasurementConstraints
ForecastingFlowDelivery
Systems thinkingRoot causeConstraintsCausality
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