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Criterion
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
Causal Loop Diagram workspace showing the question, observations, and next decision.
Systems Thinking
Causal Loop Diagram
Paper illustration for Current Reality Tree
Systems Thinking
Current 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.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 Causal Loop Diagram makes feedback, reinforcement, and balance in a system legible. It uncovers side effects and self-reinforcement that stay hidden in linear explanations.A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.
Complexitydifferent
HighMediumMediumHigh
Timedifferent
30-90 min Setup, danach laufendOngoing1-3 h2-6 h
Participantsdifferent
1-82-122-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationKanban board, WIP policies, Flow metricsCausal Loop Diagram, Feedback Notes, Leverage PointsCurrent Reality Tree, Core Problems, Intervention Ideas
Tagsno overlap
ForecastingFlowDelivery
FlowVisual managementDelivery
FeedbackSystems thinkingCausalityDynamics
Systems thinkingRoot causeConstraintsCausality
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