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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Design Thinking as a learning loop: an observation notebook, a focused problem statement, different idea sketches, a cardboard prototype and user-test notes. Feedback leads to new understanding.
Innovation
Design Thinking
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Purposedifferent
When content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.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 complex user problems with an uncertain cause, the method connects observation, interpretation, and experiment into a learning cycle. It keeps the focus on real needs and avoids premature solution language. This produces robust decisions for product and service.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
LowHighHighLow
Timedifferent
20-45 min1-4 Wochen1 Tag bis mehrere Wochen1-5 Tage
Participantsdifferent
Based on research question1-64-10Nutzertraffic
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
Content groups, Label set, IA hypothesesExperiment results, Decision log, Learning summaryProblem Statement, Prototype, Test LearningsInterest Metrics, Conversion Signal, Learning Note
Tagsno overlap
Information architectureNavigationStructure
ExperimentsGrowthAnalyticsValidation
InnovationPrototypeResearch
ValidationExperimentsDemandGrowth
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