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Criterion
Growth Experiment workspace showing the question, observations, and next decision.
Growth
Growth Experiment
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
When growth ideas surface quickly, the temptation to build immediately instead of learning is high. A Growth Experiment frames an assumption so target group, lever, and measurement are clear before the first deployment.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 only needs to be roughly verified, it tests interest with minimal effort. It measures whether people would take a next step at all.When experiments become unreadable after the fact, it arranges hypothesis, signal, and learning goal on a single canvas. It separates problem, assumption, solution, and evidence. The result is captured as a Completed Experiment Canvas and a Success Metric.
Complexitydifferent
MediumHighLowLow
Timedifferent
1-2 Wochen1-4 Wochen1-5 Tage30-60 min
Participantsdifferent
1-61-6Nutzertraffic1-5
Formatdifferent
Workshop + asyncAsyncAsyncWorkshop + async
Outputdifferent
Experiment card, Result summary, Next betExperiment results, Decision log, Learning summaryInterest Metrics, Conversion Signal, Learning NoteCompleted Experiment Canvas, Success Metric
Tags1 shared
MarketingGrowthExperimentsLearning
ExperimentsGrowthAnalyticsValidation
ValidationExperimentsDemandGrowth
ExperimentsValidationDiscoveryHypothesis
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