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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 hypothetical failure makes concrete risks, signals, and fitting mitigations visible.
Decision Making
Pre-Mortem
A/B Testing workspace showing the question, observations, and next decision.
Growth
A/B Testing
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
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.In early initiatives with many uncertainties, planning quickly turns too optimistic. A pre-mortem makes the expected failure visible in advance and sharpens the view of causes, gaps, and countermeasures.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 users immediately turn the wrong way on a screen or wireframe, first click testing checks initial orientation at high speed. The first click shows early whether expectation, labeling, and wayfinding fit together.
Complexitydifferent
MediumLowHighLow
Timedifferent
1-2 Tage20–45 min1-4 Wochen1-2 Tage
Participantsdifferent
Based on research questionSmall cross-functional group1-610-30
Formatdifferent
AsyncWorkshopAsyncAsync
Outputdifferent
Findability Metrics, Path Analysis, Revised IARisk list, Mitigation plan, Assumption logExperiment results, Decision log, Learning summaryClick Heatmap, Success Rate, Design Recommendations
Tagsno overlap
Information architectureNavigationFindability
RiskDecisionFailurePlanning
ExperimentsGrowthAnalyticsValidation
UXNavigationFindabilityValidation
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