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Criterion
Surveys method illustration showing its working structure
UX Research
Surveys
A paper-based illustration representing C4 Model with its core stages and visible working result.
Architecture
C4 Model
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
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.The C4 Model makes a system legible across several resolution levels, from context down to code. It suits situations where different audiences need to understand the same architecture from different altitudes.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 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
MediumLowLowHigh
Timedifferent
3-14 Tage1-4 h1-5 Tage1-4 Wochen
Participantsdifferent
50+1-5Nutzertraffic1-6
Formatdifferent
AsyncWorkshop + asyncAsyncAsync
Outputdifferent
Survey Results, Charts, Segment InsightsContext Diagram, Container Diagram, Component DiagramInterest Metrics, Conversion Signal, Learning NoteExperiment results, Decision log, Learning summary
Tagsno overlap
QuantitativeResearchValidation
ArchitectureCommunicationVisualization
ValidationExperimentsDemandGrowth
ExperimentsGrowthAnalyticsValidation
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