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Criterion
Paper illustration for Current Reality Tree
Systems Thinking
Current Reality Tree
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 Fake Door Test
Product Discovery
Fake Door Test
Purposedifferent
A Current Reality Tree condenses many symptoms into a few causal chains. The method makes visible which core problems drive several negative effects at once.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 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
HighHighLowMedium
Timedifferent
2-6 h1-4 Wochen1-5 Tage1-5 Tage
Participantsdifferent
3-81-6NutzertrafficNutzertraffic
Formatdifferent
WorkshopAsyncAsyncAsync
Outputdifferent
Current Reality Tree, Core Problems, Intervention IdeasExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteClick Data, Interest Signal, Learning Decision
Tagsno overlap
Systems thinkingRoot causeConstraintsCausality
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
ValidationExperimentsDemandDiscovery
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