Evaluation Method

Tree Testing

A method for evaluating whether users can find information within a proposed or existing navigation hierarchy.

Concept facts

Tree testing is an information architecture evaluation method in which participants use a simplified text-based hierarchy to find where they would go to complete a task or locate information.

Also known as
Reverse card sorting, navigation tree testing, IA tree testing, menu hierarchy testing
Used in
Navigation evaluation, information architecture validation, menu structure review, content findability testing, portal redesign
Interpret with
Task wording, hierarchy depth, label clarity, participant path, success rate, directness, hesitation, and user context

Plain-language explanation

Tree testing evaluates whether a navigation structure makes sense before or without testing the full visual interface. Participants are shown a simplified hierarchy of labels, often without page design, visual styling, or interactive content.

They are asked where they would go to find something or complete a task. The researcher then examines whether participants chose the intended path, where they hesitated, and which labels caused confusion.

Tree testing is often used after card sorting or IA planning. Card sorting can help generate possible groupings. Tree testing can help evaluate whether people can use the resulting structure to find information.

Why it matters

A website or service can have good content but weak findability if the navigation structure does not match user expectations. Tree testing helps identify category, label, and hierarchy problems before full design or development.

It can reveal whether users choose the right path, whether they backtrack, whether similar categories compete, and whether key content is buried too deeply.

Tree testing is useful because it isolates information architecture. It helps teams examine structure and labels without the influence of visual design, layout, or interactive components.

Use contexts

  • Website navigation evaluation
  • Portal restructuring
  • Menu hierarchy testing
  • Information architecture validation
  • Content findability testing
  • Pre-prototype IA review
  • Public-service and institutional website redesign

Application guidance

Prepare realistic tasks that reflect what users need to find or decide. Avoid task wording that gives away the exact navigation label.

Use a hierarchy that represents the proposed or existing structure. Keep the test focused on labels and relationships rather than visual design.

Interpret results using more than success rate alone. A participant may eventually find the right place but take a long, indirect, or uncertain path. Path directness, wrong turns, repeated backtracking, and comments can all inform IA decisions.

Practical example

A national citizen service portal proposes a new navigation structure for identity cards, address updates, benefit applications, and complaint tracking.

Tree testing asks participants where they would go to replace a lost ID, update a family record, or appeal a rejected benefit claim. Wrong paths reveal that similar labels such as “Citizen Records,” “Identity Services,” and “Personal Documents” compete with each other, increasing the risk of failed navigation.

Interpretive boundaries

  • Tree testing evaluates hierarchy and labels, not the complete user interface.
  • A successful tree test does not prove that the full page design will be usable.
  • Results depend on task wording, participant profile, and hierarchy representation.
  • Tree testing should not replace usability testing when visual design, content comprehension, or interaction behavior matters.
  • Tree testing is strongest when used to evaluate findability and navigation structure.

Applied at Userhub

Tree testing is relevant when Userhub evaluates whether people can find information within institutional websites, service portals, course pages, public-service content, or navigation-heavy digital systems.

See Userhub UX Lab for applied UX research and evaluation context.

Sources and references

  • Le, T., Chaudhuri, S., Chung, J., Thompson, H. J., & Demiris, G. (2014). Tree testing of hierarchical menu structures for health applications. Journal of Biomedical Informatics, 49, 198–205. https://doi.org/10.1016/j.jbi.2014.02.011
  • Rosenfeld, L., Morville, P., & Arango, J. (2015). Information Architecture: For the Web and Beyond (4th ed.). O’Reilly Media.
  • Toms, E. G. (2002). Information architecture: An intersection of usage, organization, and technology. Journal of the American Society for Information Science and Technology, 53(14), 1162–1169. https://doi.org/10.1002/asi.10161

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Cite this entry

APA

Userhub. (2026). Tree Testing. UX Reference. https://userhub.com.bd/reference/tree-testing/