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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 of DIBB with its method-specific working model.
Product Strategy
DIBB
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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.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
HighMediumLowHigh
Timedifferent
30-90 min Setup, danach laufendOngoing1-2 h90-180 min
Participantsdifferent
1-82-122-83-8
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationKanban board, WIP policies, Flow metricsDIBB document, Belief list, Bet list, Learning reportCoD Table, Prioritization Sequence
Tagsno overlap
ForecastingFlowDelivery
FlowVisual managementDelivery
StrategyDecisionAssumptionsHypothesis
PrioritizationDeliveryEconomicsDecision
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