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Criterion
Paper illustration for Evaporating Cloud.
Systems Thinking
Evaporating Cloud
Paper illustration for NoEstimates.
Agile
NoEstimates
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Purposedifferent
The method makes visible why two seemingly incompatible demands arise and which assumption must be tested to resolve the conflict.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.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
MediumMediumMediumHigh
Timedifferent
60-120 minlaufend1-3 h30-90 min Setup, danach laufend
Participantsdifferent
2-82-123-121-8
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Conflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsThroughput Data, Flow Forecast, Slicing RulesSystem Map, Dependencies, Leverage PointsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
Theory of ConstraintsAssumptionsSystems thinking
EstimationForecastingFlow
Systems thinkingMappingBoundariesChange
ForecastingFlowDelivery
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