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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
Anonymous individual judgments pass through feedback loops to form a distribution.
Decision Making
Delphi Method
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
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.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.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.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
MediumHighLowLow
Timedifferent
1-2 Tage1-4 Wochen1-2 h1-2 Tage
Participantsdifferent
Based on research question6-30 Experten2-810-30
Formatdifferent
AsyncAsyncWorkshop + asyncAsync
Outputdifferent
Findability Metrics, Path Analysis, Revised IAExpert Forecast, Consensus Range, Assumption NotesDIBB document, Belief list, Bet list, Learning reportClick Heatmap, Success Rate, Design Recommendations
Tagsno overlap
Information architectureNavigationFindability
ForecastingExpertsDecisionStrategy
StrategyDecisionAssumptionsHypothesis
UXNavigationFindabilityValidation
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