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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
Paper illustration for OODA Loop.
Decision Making
OODA Loop
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay
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visible and limits overload so a system becomes calmer and more predictable.In dynamic situations, decisions become outdated faster than they can be prepared. The OODA Loop holds observing, orienting, deciding, and acting together as a recurring rhythm so reaction does not slide into inertia.Helps clarify scope, order, and delivery flow in concrete terms. It makes work, constraints, and sequence manageable. The result is captured as a Cost of Delay table and prioritization sequence.
Complexitydifferent
HighMediumMediumHigh
Timedifferent
30-90 min Setup, danach laufendOngoing15-60 min je Zyklus90-180 min
Participantsdifferent
1-82-121-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationKanban board, WIP policies, Flow metricsSituation Assessment, Decision Loop, Action UpdatesCoD Table, Prioritization Sequence
Tagsno overlap
ForecastingFlowDelivery
FlowVisual managementDelivery
DecisionChangeLearningStrategy
PrioritizationDeliveryEconomicsDecision
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