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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 of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption 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.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 an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.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
HighMediumMediumMedium
Timedifferent
1-4 WochenWochen bis Monate je Goal1-2 Wochen pro Iteration1-5 Tage
Participantsdifferent
1-63-102-6Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryGoals, Idea bank, Step-project list, Tasks, Learning reportsPrioritized Assumption List, Test Plan, Results ReportClick Data, Interest Signal, Learning Decision
Tags1 shared
ExperimentsGrowthAnalyticsValidation
RoadmapOutcomesPlanningExperiments
ExperimentsValidationDiscoveryAssumptions
ValidationExperimentsDemandDiscovery
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