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Criterion
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
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 illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Purposedifferent
When a navigation exists but search paths still fail, tree testing checks findability without visual distraction. The method shows whether labels, levels, and paths really lead to the intended destination.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 assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.Plans often contain assumptions that were never openly stated and remain dangerous precisely because of that. Assumption Surfacing makes these silent premises visible and prioritizes which of them carry the initiative or could sink it.
Complexitydifferent
MediumHighMediumLow
Timedifferent
1-2 Tage1-4 Wochen45-60 min45-90 min
Participantsdifferent
Based on research question1-62-82-8
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Findability Metrics, Path Analysis, Revised IAExperiment results, Decision log, Learning summaryAssumption map, Test backlog, Risk rankingAssumption List, Critical Assumptions, Learning Plan
Tagsno overlap
Information architectureNavigationFindability
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskExperimentsValidation
AssumptionsRiskDecisionDiscovery
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