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Criterion
Story Splitting method illustration showing its working structure
Agile
Story Splitting
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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 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 demand only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.
Complexitydifferent
MediumHighLowMedium
Timedifferent
30-60 min1-4 Wochen1-5 Tage45-60 min
Participantsdifferent
2-61-6Nutzertraffic2-8
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Smaller Stories, Acceptance Criteria, Split RationaleExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteAssumption map, Test backlog, Risk ranking
Tagsno overlap
BacklogIterationDelivery
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
AssumptionsRiskExperimentsValidation
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