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Criterion
Affinity Diagramming
UX Research
Affinity Diagramming
Surveys method illustration showing its working structure
UX Research
Surveys
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Purposedifferent
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.When a topic needs to be validated broadly and many people can answer the same question, surveys gather structured feedback in a scalable form. Answers become comparable and segmentable instead of remaining merely anecdotal.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.
Complexitydifferent
LowMediumMedium
Timedifferent
45–90 min3-14 Tage1-2 Tage
Participantsdifferent
3-1050+Based on research question
Formatdifferent
WorkshopAsyncAsync
Outputdifferent
Theme clusters, Insight statements, Opportunity areasSurvey Results, Charts, Segment InsightsFindability Metrics, Path Analysis, Revised IA
Tagsno overlap
SynthesisQualitativeRoot cause
QuantitativeResearchValidation
Information architectureNavigationFindability
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Often compared together

Methods with strong topical overlap with the current selection, not yet in the comparison.

First-click Testing method illustration showing its working structure
UX Research
First-click Testing
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Empathy Mapping
UX Research
Empathy Mapping
Paper illustration of Outcome-Driven Innovation with its method-specific working model.
Product Discovery
Outcome-Driven Innovation