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Selected:SurveysAssumption MappingFishbone DiagramA/B Testing
Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
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 fishbone diagram with a measurable effect at the head and six labeled cause branches.
Operations
Fishbone Diagram
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.When a problem has several possible contributing factors, the method sorts causes by cause areas. It prevents an initial hunch from blocking the view of other plausible drivers.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.
Complexitydifferent
MediumMediumLowHigh
Timedifferent
3-14 Tage45-60 min30-60 min1-4 Wochen
Participantsdifferent
50+2-82-81-6
Formatdifferent
AsyncWorkshop + asyncWorkshopAsync
Outputdifferent
Survey Results, Charts, Segment InsightsAssumption map, Test backlog, Risk rankingFishbone Diagram, Cause Categories, Investigation BacklogExperiment results, Decision log, Learning summary
Tagsno overlap
QuantitativeResearchValidation
AssumptionsRiskExperimentsValidation
Root causeQualityOperations
ExperimentsGrowthAnalyticsValidation
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