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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
Affinity Diagramming
UX Research
Affinity Diagramming
A3 Problem-Solving workspace showing the question, observations, and next decision.
Operations
A3 Problem Solving
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
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.When research notes, feedback, or observations sit unconnected side by side, affinity diagramming sorts the raw material into solid themes. Many individual points turn into patterns that make decisions and opportunities clearer.For a complex deviation with several people involved, the method bundles problem, analysis, and decision onto one page. It creates a shared working space where causes, countermeasures, and follow-up fit together.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.
Complexitydifferent
MediumLowMediumLow
Timedifferent
1-2 Tage45–90 min45-90 min20-45 min
Participantsdifferent
Based on research question3-102-5Based on research question
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop + async
Outputdifferent
Findability Metrics, Path Analysis, Revised IATheme clusters, Insight statements, Opportunity areasA3 Report, Action Plan, Root Cause AnalysisContent groups, Label set, IA hypotheses
Tagsno overlap
Information architectureNavigationFindability
SynthesisQualitativeRoot cause
LeanProblem solvingCoachingOperations
Information architectureNavigationStructure
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