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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 of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
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.GIST Planning helps clarify target groups, value, goals, and priorities. It links customer value, product logic, and decision priorities, and captures the result as goals, an idea bank, and a step-project list.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 TageWochen bis Monate je Goal1-5 Tage
Participantsdifferent
1-6Nutzertraffic3-10Nutzertraffic
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteGoals, Idea bank, Step-project list, Tasks, Learning reportsClick Data, Interest Signal, Learning Decision
Tags1 shared
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
RoadmapOutcomesPlanningExperiments
ValidationExperimentsDemandDiscovery
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