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Criterion
Paper illustration for NoEstimates.
Agile
NoEstimates
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Planning Poker.
Agile
Planning Poker
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 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 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 estimates within the team diverge too much, it puts differing expectations on a common test bench. It separates rough complexity from unspoken assumptions.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
laufend30-60 min30-90 min2-5 min je Item
Participantsdifferent
2-122-63-123-9
Formatdifferent
Workshop + asyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Throughput Data, Flow Forecast, Slicing RulesSmaller Stories, Acceptance Criteria, Split RationaleAffinity Size Map, Grouped Estimates, Unclear ItemsRelative Estimates, Assumption Notes, Split Candidates
Tagsno overlap
EstimationForecastingFlow
BacklogIterationDelivery
EstimationBacklogRelative sizing
EstimationAgileRelative sizingTeam
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