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Criterion
Story Splitting method illustration showing its working structure
Agile
Story Splitting
Paper illustration for Affinity Estimation.
Agile
Affinity Estimation
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
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 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 two variants compete, discussions quickly decide by taste rather than effect. A/B Testing checks behavior under controlled conditions and separates real improvement from chance or expectation effects.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumMediumHighMedium
Timedifferent
30-60 min30-90 min1-4 Wochen45-60 min
Participantsdifferent
2-63-121-62-8
Formatdifferent
Workshop + asyncWorkshopAsyncWorkshop + async
Outputdifferent
Smaller Stories, Acceptance Criteria, Split RationaleAffinity Size Map, Grouped Estimates, Unclear ItemsExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk ranking
Tagsno overlap
BacklogIterationDelivery
EstimationBacklogRelative sizing
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
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