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Criterion
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration for Bottleneck Analysis.
Operations
Bottleneck Analysis
Paper illustration for Story Points.
Agile
Story Points
Paper illustration for Planning Poker.
Agile
Planning Poker
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.For a flow that backs up at one point, the method looks for the capacity limit with the greatest leverage. It explains why extra effort elsewhere barely improves throughput.When teams want to rate complexity rather than hours, it creates a shared, relative scale. It sorts work by value, risk, and delivery ability. The result is captured as Point Estimates, Reference Stories, and Velocity Data.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
30-90 min1-3 hlaufend, 1-5 min je Item2-5 min je Item
Participantsdifferent
3-123-83-93-9
Formatdifferent
WorkshopWorkshop + asyncWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsBottleneck Map, Flow Metrics, Improvement Options, Follow-up MeasuresPoint Estimates, Reference Stories, Velocity DataRelative Estimates, Assumption Notes, Split Candidates
Tagsno overlap
EstimationBacklogRelative sizing
FlowMeasurementConstraints
EstimationAgileMeasurement
EstimationAgileRelative sizingTeam
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