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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
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
Paper illustration of a Learning Card with four fields for hypothesis, observation, insight, and action.
Product Discovery
Learning Card
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.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.The Learning Card connects traceable test results to a reasoned next action while keeping the limits of the insight visible.
Complexitydifferent
MediumMediumMediumLow
Timedifferent
1-2 Tage30-90 min45-75 min25-40 min
Participantsdifferent
Based on research question1-62-81-5
Formatdifferent
AsyncWorkshop + asyncWorkshopWorkshop + async
Outputdifferent
Findability Metrics, Path Analysis, Revised IADecision Tree, Option Map, Assumption ListTest Matrix, Test PlanLearning Card with evidence and next action
Tagsno overlap
Information architectureNavigationFindability
DecisionTreeOptions
ExperimentsValidationDiscoveryOptions
ExperimentsValidationDiscoveryLearning
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