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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 of Product Kata with its method-specific working model.
Product Discovery
Product Kata
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.Product Kata helps clarify customer problems, solution ideas, and evidence through a repeatable improvement routine. It captures direction, current metric, target metric, experiment notes, and learning.
Complexitysame
MediumMediumMedium
Timedifferent
30-90 min30-60 min1-2 Wochen je Loop
Participantsdifferent
3-122-63-10
Formatdifferent
WorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Affinity Size Map, Grouped Estimates, Unclear ItemsSmaller Stories, Acceptance Criteria, Split RationaleDirection, Current metric, Target metric, Experiment note, Learning report
Tagsno overlap
EstimationBacklogRelative sizing
BacklogIterationDelivery
OutcomesDiscoveryLearningIterationCoaching
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Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration of Dual Track Agile with its method-specific working model.
Product Discovery
Dual-Track Agile
Paper illustration of Lean UX Canvas with its method-specific working model.
UX Design
Lean UX Canvas
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card