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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test
Paper illustration of GIST Planning with its method-specific working model.
Product Strategy
GIST Planning
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
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 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.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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitydifferent
HighMediumMediumMedium
Timedifferent
1-4 Wochen1-5 TageWochen bis Monate je Goal45-75 min
Participantsdifferent
1-6Nutzertraffic3-102-8
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Experiment results, Decision log, Learning summaryClick Data, Interest Signal, Learning DecisionGoals, Idea bank, Step-project list, Tasks, Learning reportsTest Matrix, Test Plan
Tags1 shared
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandDiscovery
RoadmapOutcomesPlanningExperiments
ExperimentsValidationDiscoveryOptions
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