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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
Paper illustration of DIBB with its method-specific working model.
Product Strategy
DIBB
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
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.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 content only makes sense internally and users can't find the structure again, card sorting exposes their mental order. Terms, groups, and naming are then aligned with the target group's expectations.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
MediumLowLowLow
Timedifferent
1-2 Tage1-2 h20-45 min1-2 Tage
Participantsdifferent
Based on research question2-8Based on research question10-30
Formatdifferent
AsyncWorkshop + asyncWorkshop + asyncAsync
Outputdifferent
Findability Metrics, Path Analysis, Revised IADIBB document, Belief list, Bet list, Learning reportContent groups, Label set, IA hypothesesClick Heatmap, Success Rate, Design Recommendations
Tagsno overlap
Information architectureNavigationFindability
StrategyDecisionAssumptionsHypothesis
Information architectureNavigationStructure
UXNavigationFindabilityValidation
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