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Criterion
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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.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.The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.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.
Complexitydifferent
HighMediumMediumHigh
Timedifferent
1-5 Tagelaufend60-120 min30-90 min Setup, danach laufend
Participantsdifferent
4-122-122-81-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Logic Model, Change Objectives, Intervention Components, Evaluation PlanThroughput Data, Flow Forecast, Slicing RulesConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
ChangeSystems thinkingCapability
EstimationForecastingFlow
Theory of ConstraintsAssumptionsSystems thinking
ForecastingFlowDelivery
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