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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Purposedifferent
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.For decisions with follow-on paths and dependencies, a linear comparison is often not enough. A Decision Tree shows how options branch under conditions and which consequences hang on each branch.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 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.
Complexitydifferent
LowMediumLowMedium
Timedifferent
20-45 min30-90 min1-2 Tage1-2 Tage
Participantsdifferent
Based on research question1-610-30Based on research question
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Content groups, Label set, IA hypothesesDecision Tree, Option Map, Assumption ListClick Heatmap, Success Rate, Design RecommendationsFindability Metrics, Path Analysis, Revised IA
Tagsno overlap
Information architectureNavigationStructure
DecisionTreeOptions
UXNavigationFindabilityValidation
Information architectureNavigationFindability
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