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Criterion
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
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 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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.When several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitydifferent
HighLowLowMedium
Timedifferent
1-4 Wochen20-45 min25-40 min45-75 min
Participantsdifferent
1-6Based on research question1-52-8
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncWorkshop
Outputdifferent
Experiment results, Decision log, Learning summaryContent groups, Label set, IA hypothesesLearning Card with evidence and next actionTest Matrix, Test Plan
Tagsno overlap
ExperimentsGrowthAnalyticsValidation
Information architectureNavigationStructure
ExperimentsValidationDiscoveryLearning
ExperimentsValidationDiscoveryOptions
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