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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Purposedifferent
When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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 users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together.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
3-14 Tage1-4 Wochen1-2 Tage30-60 min
Participantsdifferent
50+1-610-301-5
Formatdifferent
AsyncAsyncAsyncWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsExperiment results, Decision log, Learning summaryClick Heatmap, Success Rate, Design RecommendationsCompleted Experiment Canvas, Success Metric
Tags1 shared
QuantitativeResearchValidation
ExperimentsGrowthAnalyticsValidation
UXNavigationFindabilityValidation
ExperimentsValidationDiscoveryHypothesis
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