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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
A structured reflection surfaces what was liked, learned, lacked, and longed for. It is a conversation format and does not validate actions automatically.
Agile
4Ls Retrospective
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 a sprint should not only be assessed but also learned from, it captures experience in clear learning categories. It records what worked, what's missing, and what should run differently next time.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 Wochen45–75 min1-5 Tage1-5 Tage
Participantsdifferent
1-6Team members involvedNutzertrafficNutzertraffic
Formatdifferent
AsyncWorkshopAsyncAsync
Outputdifferent
Experiment results, Decision log, Learning summary4Ls Board, Learning Themes, Improvement ActionsInterest Metrics, Conversion Signal, Learning NoteClick Data, Interest Signal, Learning Decision
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
RetrospectiveLearningReflectionTeam
ValidationExperimentsDemandGrowth
ValidationExperimentsDemandDiscovery
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