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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Paper illustration for NoEstimates.
Agile
NoEstimates
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.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.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.
Complexitydifferent
HighHighMediumMedium
Timedifferent
1-5 Tage30-90 min Setup, danach laufend1-3 hlaufend
Participantsdifferent
4-121-83-122-12
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanForecast Percentiles, Throughput Dataset, Risk CommunicationSystem Map, Dependencies, Leverage PointsThroughput Data, Flow Forecast, Slicing Rules
Tagsno overlap
ChangeSystems thinkingCapability
ForecastingFlowDelivery
Systems thinkingMappingBoundariesChange
EstimationForecastingFlow
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