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Criterion
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.When estimating slows a team down more than it helps, it shifts the focus to flow, small slices, and real lead time. It sorts work by value, risk, and delivery ability. The result is captured as Throughput Data, Flow Forecast, and Slicing Rules.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.
Complexitydifferent
MediumMediumLow
Timedifferent
Ongoinglaufend1-2 h
Participantsdifferent
2-122-122-8
Formatsame
Workshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Kanban board, WIP policies, Flow metricsThroughput Data, Flow Forecast, Slicing RulesDIBB document, Belief list, Bet list, Learning report
Tagsno overlap
FlowVisual managementDelivery
EstimationForecastingFlow
StrategyDecisionAssumptionsHypothesis
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Decision Making
Delphi Method
Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of Cost of Delay with its method-specific working model.
Delivery
Cost of Delay