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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
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.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.A Future Reality Tree shows how desired actions are meant to lead to a better system state. The method checks whether a path of change holds together logically before time flows into implementation.
Complexitydifferent
MediumHighMediumHigh
Timedifferent
laufend30-90 min Setup, danach laufend1-3 h2-4 h
Participantsdifferent
2-121-83-123-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesForecast Percentiles, Throughput Dataset, Risk CommunicationSystem Map, Dependencies, Leverage PointsFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
EstimationForecastingFlow
ForecastingFlowDelivery
Systems thinkingMappingBoundariesChange
Theory of ConstraintsSystems thinkingChange
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