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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Paper illustration for NoEstimates.
Agile
NoEstimates
Purposedifferent
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 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.
Complexitysame
MediumMediumMedium
Timedifferent
30-90 min30-60 minlaufend
Participantsdifferent
3-122-62-12
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsSmaller Stories, Acceptance Criteria, Split RationaleThroughput Data, Flow Forecast, Slicing Rules
Tagsno overlap
EstimationBacklogRelative sizing
BacklogIterationDelivery
EstimationForecastingFlow
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Monte Carlo Forecasting.
Delivery
Monte Carlo Forecasting