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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 an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
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.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.When an idea hinges on one critical unknown, it prioritizes testing that exact piece of uncertainty first. It separates problem, assumption, solution, and evidence. The result is captured as a prioritized list of assumptions, a test plan, and a result report.
Complexitydifferent
MediumHighLowMedium
Timedifferent
1-2 Tage1-4 Wochen45-90 min1-2 Wochen pro Iteration
Participantsdifferent
Based on research question1-62-82-6
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop + async
Outputdifferent
Findability Metrics, Path Analysis, Revised IAExperiment results, Decision log, Learning summaryAssumption List, Critical Assumptions, Learning PlanPrioritized Assumption List, Test Plan, Results Report
Tagsno overlap
Information architectureNavigationFindability
ExperimentsGrowthAnalyticsValidation
AssumptionsRiskDecisionDiscovery
ExperimentsValidationDiscoveryAssumptions
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