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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems Mapping
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Purposedifferent
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.When work sits in too many parallel streams, throughput suffers and no one sees the bottlenecks. Kanban makes the flow of work visible and limits overload so a system becomes calmer and more predictable.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
HighMediumMediumHigh
Timedifferent
30-90 min Setup, danach laufend1-3 hOngoing2-4 h
Participantsdifferent
1-83-122-123-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationSystem Map, Dependencies, Leverage PointsKanban board, WIP policies, Flow metricsFuture Reality Tree, Negative Branches, Assumption List, Improved Injections
Tagsno overlap
ForecastingFlowDelivery
Systems thinkingMappingBoundariesChange
FlowVisual managementDelivery
Theory of ConstraintsSystems thinkingChange
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