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Criterion
Paper illustration showing three sorted card stacks and an open question about a possible group.
UX Research
Card Sorting
Affinity Diagramming
UX Research
Affinity Diagramming
Paper illustration of two people facing each other, speech bubbles and an open interview notebook.
UX Research
User Interviews
Paper illustration of a branching category tree with a highlighted search path and possible dead ends.
UX Research
Tree Testing
Purposedifferent
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.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 teams derive needs only from assumptions and real motives are missing, user interviews give direct access to behavior and meaning. Conversations from the target group's everyday life make patterns, tensions, and open questions solidly visible.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
LowLowLowMedium
Timedifferent
20-45 min45–90 min30–60 min per interview1-2 Tage
Participantsdifferent
Based on research question3-101 participant per interviewBased on research question
Formatdifferent
Workshop + asyncWorkshopWorkshop + asyncAsync
Outputdifferent
Content groups, Label set, IA hypothesesTheme clusters, Insight statements, Opportunity areasInterview Notes, Themes, Insight SummaryFindability Metrics, Path Analysis, Revised IA
Tagsno overlap
Information architectureNavigationStructure
SynthesisQualitativeRoot cause
QualitativeResearchCustomerDiscovery
Information architectureNavigationFindability
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