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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Paper illustration of a four-column Kanban board with limited ongoing work, a visible blocker and a review loop.
Engineering
Kanban
Purposedifferent
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.When many tasks need to be classified quickly, it sorts them by perceived effort and similarity. It reduces the effort of fine-grained estimation for large volumes.When a story becomes too large for a clean flow, it breaks scope down along value and risk. It shapes the work into a form that ships earlier and is easier to verify.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.
Complexitysame
MediumMediumMediumMedium
Timedifferent
laufend30-90 min30-60 minOngoing
Participantsdifferent
2-123-122-62-12
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesAffinity Size Map, Grouped Estimates, Unclear ItemsSmaller Stories, Acceptance Criteria, Split RationaleKanban board, WIP policies, Flow metrics
Tagsno overlap
EstimationForecastingFlow
EstimationBacklogRelative sizing
BacklogIterationDelivery
FlowVisual managementDelivery
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