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Criterion
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
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 delivery work dissolves into wait times, handoffs, and hidden effort, Value Stream Mapping makes the actual flow visible. The method exposes bottlenecks, idle time, and feedback loops so lead time and improvement levers become tangible.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.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
MediumMediumHighHigh
Timedifferent
1-3 h1-3 h30-90 min Setup, danach laufend2-4 h
Participantsdifferent
3-124-101-83-8
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
System Map, Dependencies, Leverage PointsCurrent-state map, Future-state map, Bottleneck listForecast Percentiles, Throughput Dataset, Risk CommunicationFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
Systems thinkingMappingBoundariesChange
LeanFlowWasteDelivery
ForecastingFlowDelivery
Theory of ConstraintsSystems thinkingChange
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