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Criterion
Paper illustration for T-Shirt Sizing.
Agile
T-Shirt Sizing
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
Paper illustration of a yellow story card, blue rule cards, green example cards and a red question card on a light workspace.
Agile
Example Mapping
Paper illustration for Planning Poker.
Agile
Planning Poker
Purposedifferent
When effort only needs to be classified roughly, it makes comparability more important than false precision. It helps sort work quickly into manageable sizes.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 carries business rules and exceptions, it brings clarity before implementation. It makes examples, open questions, and boundaries visible enough that the logic becomes jointly sound.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
LowMediumLowLow
Timedifferent
15-45 min30-90 min30-60 min2-5 min je Item
Participantsdifferent
2-123-123-73-9
Formatdifferent
Workshop + asyncWorkshopWorkshopWorkshop + async
Outputdifferent
Size Buckets, Rough Backlog Map, Split CandidatesAffinity Size Map, Grouped Estimates, Unclear ItemsExample Map, Acceptance Criteria, Open QuestionsRelative Estimates, Assumption Notes, Split Candidates
Tagsno overlap
EstimationAgileRoadmap
EstimationBacklogRelative sizing
Behavior-Driven DevelopmentRequirementsExamplesRefinement
EstimationAgileRelative sizingTeam
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