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Criterion
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
Paper matrix with six colored hat cards for information, feeling, value, caution, ideas and process control.
Facilitation
Six Thinking Hats
First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Purposedifferent
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 a topic gets stuck too quickly in the same thinking mode, Six Thinking Hats deliberately separates the perspectives. This means facts, risks, creativity, and emotional signals get worked through one after another instead of mixed together.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
MediumMediumMediumLow
Timedifferent
30-90 min1-2 Tage45-90 min1-2 Tage
Participantsdifferent
1-6Based on research question4-1210-30
Formatdifferent
Workshop + asyncAsyncWorkshopAsync
Outputdifferent
Decision Tree, Option Map, Assumption ListFindability Metrics, Path Analysis, Revised IAPerspective Notes, Decision Inputs, Action ItemsClick Heatmap, Success Rate, Design Recommendations
Tagsno overlap
DecisionTreeOptions
Information architectureNavigationFindability
FacilitationOptionsDecision
UXNavigationFindabilityValidation
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