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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
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
Purposedifferent
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.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.
Complexitydifferent
MediumHighHighMedium
Timedifferent
laufend1-5 Tage30-90 min Setup, danach laufend1-3 h
Participantsdifferent
2-124-121-83-12
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesLogic Model, Change Objectives, Intervention Components, Evaluation PlanForecast Percentiles, Throughput Dataset, Risk CommunicationSystem Map, Dependencies, Leverage Points
Tagsno overlap
EstimationForecastingFlow
ChangeSystems thinkingCapability
ForecastingFlowDelivery
Systems thinkingMappingBoundariesChange
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