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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
Empathy Mapping
UX Research
Empathy Mapping
Design sheets and interface cards connect to jointly written pseudocode with highlighted unresolved questions.
Architecture
ARID (Active Reviews for Intermediate Designs)
Affinity Diagramming
UX Research
Affinity Diagramming
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 a lot is assumed about a target group but little is seen jointly, empathy mapping makes knowledge and gaps directly comparable. The picture also shows which assumptions hold up and where evidence is missing.ARID examines how well developers can work with a technical design. It focuses on a part of the system that can still be revised, between the architecture overview and the detailed specification.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.
Complexitydifferent
MediumLowMediumLow
Timedifferent
1-2 Tage30–60 min2–4 h review as a planning range; preparation and evaluation additional45–90 min
Participantsdifferent
Based on research question4-8Designers, developers as users, and facilitation3-10
Formatdifferent
AsyncWorkshopWorkshop + asyncWorkshop
Outputdifferent
Findability Metrics, Path Analysis, Revised IAEmpathy Map, Assumptions List, Research GapsPrioritized development tasks, Jointly produced code or pseudocode, Observed difficulties and open design questions, Proposed design revisionsTheme clusters, Insight statements, Opportunity areas
Tagsno overlap
Information architectureNavigationFindability
SynthesisQualitativeWorkshop
ArchitectureEngineeringFeedbackValidationTasks
SynthesisQualitativeRoot cause
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