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Criterion
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 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
Purposedifferent
When assumptions still sit unordered in the room, it weighs uncertainty against leverage. It makes visible which hypotheses should be checked first.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.
Complexitydifferent
MediumMediumHigh
Timedifferent
45-60 min1-2 Tage1-4 Wochen
Participantsdifferent
2-8Based on research question1-6
Formatdifferent
Workshop + asyncAsyncAsync
Outputdifferent
Assumption map, Test backlog, Risk rankingFindability Metrics, Path Analysis, Revised IAExperiment results, Decision log, Learning summary
Tagsno overlap
AssumptionsRiskExperimentsValidation
Information architectureNavigationFindability
ExperimentsGrowthAnalyticsValidation
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of Riskiest Assumption Test with a method-specific labelled workspace.
Product Discovery
Riskiest Assumption Test
Paper illustration for Smoke Test.
Product Discovery
Smoke Test
Paper illustration of an assumption matrix with prioritized test cards
Decision Making
Assumption Surfacing