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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Expectation Mapping.
Facilitation
Expectation Mapping
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
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 roles, interfaces, or projects fail because of differing expectations, Expectation Mapping surfaces these differences. It shows what each side takes for granted and where the pictures diverge.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 demand is still unclear, it measures interest in a feature before it is built. It separates real behavior from polite agreement and deliberately keeps build effort small.
Complexitydifferent
HighLowLowMedium
Timedifferent
1-4 Wochen45-90 min1-5 Tage1-5 Tage
Participantsdifferent
1-63-12NutzertrafficNutzertraffic
Formatdifferent
AsyncWorkshopAsyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryExpectation Map, Alignment Notes, AgreementsInterest Metrics, Conversion Signal, Learning NoteClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
AlignmentStakeholdersTeam
ValidationExperimentsDemandGrowth
ValidationExperimentsDemandDiscovery
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