tree-testing

Tree testing is a usability method that validates information architecture findability by having participants navigate a text-only hierarchy to locate items. It measures task success, path directness, and time-to-find to identify label clarity issues before visual design begins.

Run tree testing by presenting participants with a text-only navigation scenario and specific findability tasks. The system collects task success, directness, and time-to-find metrics per task, then outputs a synthesis template to guide information architecture revisions.

Use tree testing during early design phases before wireframes to isolate information architecture issues. Removing visual elements forces participants to rely purely on hierarchy labels and category structures, ensuring findability problems are fixed before investing in visual design.

Yes, tree testing evaluates top-level navigation labels and category hierarchies using a text-only tree structure. This approach isolates information architecture from visual design, collecting directness and time metrics to validate label clarity without needing a prototype.

Tree testing collects task success, path directness, and time-to-find metrics for each scenario. These usability metrics feed into a synthesis template that highlights findability failures across hierarchy labels, informing targeted information architecture revisions.

No dependencies or components are required. Tree testing operates on a text-only tree scenario, making it a lightweight method to assess information architecture findability early in the design process before any visual components are built.