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Criterion
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Purposedifferent
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.When knowledge is distributed and direct dominance should be avoided, groups quickly fall under the sway of their opinion leaders. The Delphi Method gathers assessments iteratively and gradually brings expert judgments closer together.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.DIBB helps clarify target groups, value, goals, and priorities by making the logic behind a decision explicit. It captures results as a DIBB document, belief list, bet list, and learning report.
Complexitydifferent
LowHighMediumLow
Timedifferent
1-2 Tage1-4 Wochen1-2 Tage1-2 h
Participantsdifferent
10-306-30 ExpertenBased on research question2-8
Formatdifferent
AsyncAsyncAsyncWorkshop + async
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsExpert Forecast, Consensus Range, Assumption NotesFindability Metrics, Path Analysis, Revised IADIBB document, Belief list, Bet list, Learning report
Tagsno overlap
UXNavigationFindabilityValidation
ForecastingExpertsDecisionStrategy
Information architectureNavigationFindability
StrategyDecisionAssumptionsHypothesis
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