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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration of Lean Startup with its method-specific working model.
Innovation
Lean Startup
Paper illustration of Counter Metrics with its method-specific working model.
Product Strategy
Counter Metrics
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.For uncertain business assumptions, the method forces the idea into contact with real market reactions early. It separates wishful picture, assumption, and observable behavior, so that learning becomes faster than planning. This translates uncertainty into measurable insight.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.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
HighMediumLowLow
Timedifferent
1-4 WochenWochen bis Monate je Lernzyklus30-60 min1-5 Tage
Participantsdifferent
1-62-82-6Nutzertraffic
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Experiment results, Decision log, Learning summaryHypothesis list, MVPs, Learning reports, Pivot or persevere decisionCounter Metric List, Guardrail DefinitionsInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
LeanStartupValidationMVP
MetricsMeasurementStrategyExperiments
ValidationExperimentsDemandGrowth
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