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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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
Paper illustration for Smoke Test.
Product Discovery
Smoke 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.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.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.
Complexitydifferent
HighMediumMediumLow
Timedifferent
1-4 WochenWochen bis Monate je Goal1-5 Tage1-5 Tage
Participantsdifferent
1-63-10NutzertrafficNutzertraffic
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryGoals, Idea bank, Step-project list, Tasks, Learning reportsClick Data, Interest Signal, Learning DecisionInterest Metrics, Conversion Signal, Learning Note
Tags1 shared
ExperimentsGrowthAnalyticsValidation
RoadmapOutcomesPlanningExperiments
ValidationExperimentsDemandDiscovery
ValidationExperimentsDemandGrowth
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