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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream Mapping
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
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.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.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.Intervention Mapping translates a need for change into a planned, evaluable program. The method connects target group, determinants, actions, and measurement into a traceable chain.
Complexitydifferent
HighMediumHighHigh
Timedifferent
30-90 min Setup, danach laufend1-3 hHalf day1-5 Tage
Participantsdifferent
1-84-103-124-12
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationCurrent-state map, Future-state map, Bottleneck listLeverage Map, Action StrategyLogic Model, Change Objectives, Intervention Components, Evaluation Plan
Tagsno overlap
ForecastingFlowDelivery
LeanFlowWasteDelivery
Systems thinkingChangeStrategy
ChangeSystems thinkingCapability
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