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Criterion
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Paper illustration for NoEstimates.
Agile
NoEstimates
Paper illustration for Planning Poker.
Agile
Planning Poker
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Purposedifferent
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.When estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.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.
Complexitydifferent
MediumMediumLowMedium
Timedifferent
30-60 minlaufend2-5 min je Item30-90 min
Participantsdifferent
2-62-123-93-12
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Smaller Stories, Acceptance Criteria, Split RationaleThroughput Data, Flow Forecast, Slicing RulesRelative Estimates, Assumption Notes, Split CandidatesAffinity Size Map, Grouped Estimates, Unclear Items
Tagsno overlap
BacklogIterationDelivery
EstimationForecastingFlow
EstimationAgileRelative sizingTeam
EstimationBacklogRelative sizing
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