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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
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
First-click Testing method illustration showing its working structure
UX Research
First-click 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 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 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
LowMediumMediumLow
Timedifferent
20-45 min30-90 min1-2 Tage1-2 Tage
Participantsdifferent
Based on research question1-6Based on research question10-30
Formatdifferent
Workshop + asyncWorkshop + asyncAsyncAsync
Outputdifferent
Content groups, Label set, IA hypothesesDecision Tree, Option Map, Assumption ListFindability Metrics, Path Analysis, Revised IAClick Heatmap, Success Rate, Design Recommendations
Tagsno overlap
Information architectureNavigationStructure
DecisionTreeOptions
Information architectureNavigationFindability
UXNavigationFindabilityValidation
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