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Criterion
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems 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
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.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
MediumMediumMediumHigh
Timedifferent
1-3 hlaufend60-120 min30-90 min Setup, danach laufend
Participantsdifferent
3-122-122-81-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
System Map, Dependencies, Leverage PointsThroughput Data, Flow Forecast, Slicing RulesConflict Cloud, Assumption List, Breakthrough Ideas, Next ExperimentsForecast Percentiles, Throughput Dataset, Risk Communication
Tagsno overlap
Systems thinkingMappingBoundariesChange
EstimationForecastingFlow
Theory of ConstraintsAssumptionsSystems thinking
ForecastingFlowDelivery
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