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Criterion
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
Decision Tree method illustration showing its working structure
Decision Making
Decision Tree
Paper illustration of MVP Test Matrix with a method-specific labelled workspace.
Product Discovery
MVP Test Matrix
Purposedifferent
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.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 several minimal variants compete to answer the same question, it makes comparing and choosing between them cleaner. It separates problem, assumption, solution, and evidence. The result is captured as a Test Matrix and a Test Plan.
Complexitydifferent
LowMediumMediumMedium
Timedifferent
1-2 Tage1-2 Tage30-90 min45-75 min
Participantsdifferent
10-30Based on research question1-62-8
Formatdifferent
AsyncAsyncWorkshop + asyncWorkshop
Outputdifferent
Click Heatmap, Success Rate, Design RecommendationsFindability Metrics, Path Analysis, Revised IADecision Tree, Option Map, Assumption ListTest Matrix, Test Plan
Tagsno overlap
UXNavigationFindabilityValidation
Information architectureNavigationFindability
DecisionTreeOptions
ExperimentsValidationDiscoveryOptions
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