Reference entry content
Concept facts
Card sorting is a research method in which participants organize items into groups so researchers can study how people understand relationships among content, tasks, or concepts.
- Also known as
- Open card sorting, closed card sorting, hybrid card sorting, category sorting
- Used in
- Information architecture, navigation design, taxonomy design, content grouping, menu structure planning, terminology research
- Interpret with
- Participant profile, card selection, task framing, grouping patterns, label choices, domain knowledge, and follow-up analysis
Plain-language explanation
Card sorting helps teams understand how people group information. Participants are given a set of cards, usually representing pages, content topics, features, services, or concepts. They then organize those cards into groups that make sense to them.
In an open card sort, participants create their own group names. In a closed card sort, participants place cards into predefined categories. A hybrid card sort combines both approaches.
The method is useful when teams need evidence about content organization, labels, and user mental models before finalizing a navigation structure or taxonomy.
Why it matters
Weak information architecture often reflects internal organizational logic rather than how users understand information. Card sorting helps reveal whether users group content differently from the organization’s assumptions.
The method can support better navigation, clearer categories, and more understandable content relationships. It can also identify terminology problems, such as labels that are meaningful to staff but unclear to users.
Card sorting should not be treated as an automatic structure generator. The results need interpretation. Teams should consider user goals, content importance, organizational constraints, and later validation through methods such as tree testing or usability testing.
Use contexts
- Information architecture planning
- Website and portal restructuring
- Navigation category design
- Taxonomy and label development
- Content grouping
- Service information organization
- Early IA research before tree testing
Application guidance
Start by defining the content set and the research question. Do not include too many unrelated cards, and avoid labels that already reveal the expected answer.
Use open card sorting when the team needs to understand participant-generated groupings and labels. Use closed card sorting when testing whether an existing category structure is understandable.
Analyze both quantitative grouping patterns and qualitative label choices. Participant comments can help explain why items were grouped together or why some items felt ambiguous.
Practical example
A civic-tech team is redesigning a legal aid website. Internally, content is grouped by law type, department, and service office. Participants, however, group content by urgent problems: domestic violence, land dispute, arrest, inheritance, and document loss.
Card sorting helps the team understand how users mentally group legal help needs. The result informs a structure that supports urgent public understanding while still linking to formal legal categories.
Interpretive boundaries
- Card sorting does not prove that users can successfully navigate the final system.
- Results depend on the selected cards, participant sample, and task instructions.
- Grouping patterns require interpretation and should not be applied mechanically.
- Card sorting is stronger for understanding relationships than for testing complete navigation behavior.
- Later validation may be needed through tree testing or usability testing.
Applied at Userhub
Card sorting is relevant when Userhub studies how people understand, group, and label service information, course information, content structures, or navigation categories.
See Userhub UX Lab for applied UX research and evaluation context.
Sources and references
- Wood, J. R., & Wood, L. E. (2008). Card sorting: Current practices and beyond. Journal of Usability Studies, 4(1), 1–6.
- Tullis, T., & Wood, L. (2004). How many users are enough for a card-sorting study? In Proceedings of the Usability Professionals Association (UPA) 2004 Conference (pp. 1–12). UPA.
- Schmettow, M., & Sommer, J. (2016). Linking card sorting to browsing performance – are congruent municipal websites more efficient to use? Behaviour & Information Technology, 35(6), 452–470. https://doi.org/10.1080/0144929X.2016.1157207
- Rosenfeld, L., Morville, P., & Arango, J. (2015). Information Architecture: For the Web and Beyond (4th ed.). O’Reilly Media.
—
Cite this entry
APAUserhub. (2026). Card Sorting. UX Reference. https://userhub.com.bd/reference/card-sorting/