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Criterion
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 for Alignment Mapping.
Facilitation
Alignment Mapping
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 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 several people work toward one goal but hold different mental maps, Alignment Mapping makes the discrepancies visible. It arranges goals, assumptions, and priorities so shared direction becomes verifiable.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
HighLowMediumMedium
Timedifferent
1-4 Wochen1-5 Tage1-2 h1-5 Tage
Participantsdifferent
1-6Nutzertraffic4-12Nutzertraffic
Formatdifferent
AsyncAsyncWorkshopAsync
Outputdifferent
Experiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteAlignment Map, Open Issues, Decision QuestionsClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
AlignmentStakeholdersStrategyFacilitation
ValidationExperimentsDemandDiscovery
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