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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
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.The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.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.
Complexitydifferent
MediumMediumHighHigh
Timedifferent
laufend60-120 min1-5 Tage30-90 min Setup, danach laufend
Participantsdifferent
2-122-84-121-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsLogic Model, Change Objectives, Intervention Components, Evaluation PlanForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
EstimationForecastingFlow
Theory of ConstraintsAssumptionsSystems thinking
ChangeSystems thinkingCapability
ForecastingFlowDelivery
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