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Criterion
Paper illustration of a calm four-quadrant Assumption Map with hypothesis cards and emphasis on important assumptions with little evidence.
Product Discovery
Assumption Mapping
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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 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 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
MediumHighMediumLow
Timedifferent
45-60 min1-4 Wochen3-14 Tage1-5 Tage
Participantsdifferent
2-81-650+Nutzertraffic
Formatdifferent
Workshop + asyncAsyncAsyncAsync
Outputdifferent
Assumption map, Test backlog, Risk rankingExperiment results, Decision log, Learning summarySurvey Results, Charts, Segment InsightsInterest Metrics, Conversion Signal, Learning Note
Tags1 shared
AssumptionsRiskExperimentsValidation
ExperimentsGrowthAnalyticsValidation
QuantitativeResearchValidation
ValidationExperimentsDemandGrowth
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