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Criterion
Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Purposedifferent
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.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.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.Leverage Points show exactly where interventions in a system produce a disproportionate effect. It draws relationships, patterns, and feedback loops. The result is captured as a leverage map and action strategy.
Complexitydifferent
HighHighMediumHigh
Timedifferent
2-4 h30-90 min Setup, danach laufendOngoingHalf day
Participantsdifferent
3-81-82-123-12
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Future Reality Tree, Negative Branches, Assumption List, Improved InjectionsForecast Percentiles, Throughput Dataset, Risk CommunicationKanban board, WIP policies, Flow metricsLeverage Map, Action Strategy
Tagsno overlap
Theory of ConstraintsSystems thinkingChange
ForecastingFlowDelivery
FlowVisual managementDelivery
Systems thinkingChangeStrategy
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