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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Hypothesis Prioritization Canvas with a method-specific labelled workspace.
Product Discovery
Hypothesis Prioritization Canvas
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
Paper illustration of a Test Card with four fields for hypothesis, test, metric, and success threshold.
Product Discovery
Test Card
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 many hypotheses compete for attention, it brings order to their learning sequence and importance. It separates problem, assumption, solution, and evidence. The result is captured as a prioritization canvas and a hypothesis backlog.When a headline metric could mask side effects, it adds guardrail signals against unwanted outcomes. It connects customer value, product logic, and decision priorities. The result is captured as a counter-metric list and guardrail definitions.The Test Card turns a critical assumption into a testable claim and specifies in advance which result counts as success.
Complexitydifferent
HighMediumLowLow
Timedifferent
1-4 Wochen60-90 min30-60 min20-35 min
Participantsdifferent
1-63-82-61-5
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Experiment results, Decision log, Learning summaryPrioritization Canvas, Hypothesis BacklogCounter Metric List, Guardrail DefinitionsTest Card with a pre-set threshold
Tags1 shared
ExperimentsGrowthAnalyticsValidation
ExperimentsPrioritizationDiscoveryHypothesis
MetricsMeasurementStrategyExperiments
ExperimentsValidationDiscoveryHypothesis
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