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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
Paper illustration for PDCA Cycle.
Operations
PDCA Cycle
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.For an improvement that still has to prove itself in everyday work, the method runs it through small learning loops. It connects planning, checking, and standardization into a repeatable learning mode.
Complexitydifferent
MediumHighLow
Timedifferent
3-14 Tage1-4 Wochen1 h bis mehrere Wochen
Participantsdifferent
50+1-61-8
Formatdifferent
AsyncAsyncWorkshop + async
Outputdifferent
Survey Results, Charts, Segment InsightsExperiment results, Decision log, Learning summaryPDCA Log, Experiment Plan, Learning Outcome, Standard Change
Tagsno overlap
QuantitativeResearchValidation
ExperimentsGrowthAnalyticsValidation
Continuous improvementLeanExperiments
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
Paper illustration of Experiment Canvas with a method-specific labelled workspace.
Product Discovery
Experiment Canvas
Paper illustration for Fake Door Test
Product Discovery
Fake Door Test