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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
Systems Mapping method illustration showing its working structure
Systems Thinking
Systems 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 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.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.
Complexitydifferent
HighMediumMedium
Timedifferent
30-90 min Setup, danach laufendOngoing1-3 h
Participantsdifferent
1-82-123-12
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationKanban board, WIP policies, Flow metricsSystem Map, Dependencies, Leverage Points
Tagsno overlap
ForecastingFlowDelivery
FlowVisual managementDelivery
Systems thinkingMappingBoundariesChange
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Future Reality Tree.
Systems Thinking
Future Reality Tree
Paper illustration for Intervention Mapping.
Systems Thinking
Intervention Mapping
Paper illustration of Leverage Points with its method-specific working model.
Systems Thinking
Leverage Points