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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 for NoEstimates.
Agile
NoEstimates
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
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.When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.Systems Mapping arranges elements, relationships, and boundaries so a complex field becomes legible at a glance. The overview stabilizes the overall picture before detail work or steering begins.
Complexitydifferent
HighHighMediumMedium
Timedifferent
1-5 Tage30-90 min Setup, danach laufendlaufend1-3 h
Participantsdifferent
4-121-82-123-12
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanForecast Percentiles, Throughput Dataset, Risk CommunicationThroughput Data, Flow Forecast, Slicing RulesSystem Map, Dependencies, Leverage Points
Tagsno overlap
ChangeSystems thinkingCapability
ForecastingFlowDelivery
EstimationForecastingFlow
Systems thinkingMappingBoundariesChange
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