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Criterion
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
A paper-based illustration representing WSJF with its core stages and visible working result.
Agile
WSJF
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Value Stream Mapping workspace showing the question, observations, and next decision.
Delivery
Value Stream 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 many tasks compete for the same capacity, it orders work by economic impact. It makes time lost, benefit, and effort comparable together.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.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.
Complexitydifferent
HighHighLowMedium
Timedifferent
30-90 min Setup, danach laufend45-90 min1-2 h1-3 h
Participantsdifferent
1-83-102-84-10
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Forecast Percentiles, Throughput Dataset, Risk CommunicationRanked Backlog, Cost-of-Delay AssumptionsDIBB document, Belief list, Bet list, Learning reportCurrent-state map, Future-state map, Bottleneck list
Tagsno overlap
ForecastingFlowDelivery
LeanEconomicsSequencePrioritization
StrategyDecisionAssumptionsHypothesis
LeanFlowWasteDelivery
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