Tree Testing

Quantitative evaluation of information architecture using a text-only prototype, testing whether users can find items without visual design influencing navigation behavior.

Process

Key Fields

Question it answers	Is this IA structure intuitive? Can users find what they need without visual cues?
Participants & timing	20-40 participants · 15-20 min per test · 2-3 weeks
AI compatibility	AI aggregates success metrics by task and generates IA improvement suggestions based on common wrong-path patterns.
Output	Task success rates, successful vs. failed navigation paths, IA refinement recommendations, prioritized problem areas

Use when

Proposing significant IA changes before visual design begins
Information space is large (50+ pages or content areas)
Multiple user segments may navigate differently
Quantitative validation of IA structure is required

Skip when

IA is small and simple (under 15 pages)
Visual design strongly influences navigation and cannot be isolated

Common Mistakes

Too many tasks

Twenty tasks exhausts participants and produces less reliable data. Test 8-12 core tasks that cover the most uncertain or critical IA areas.

Ambiguous task language

"Find information about shipping" vs. "You want to know if free shipping applies to your location. Where would you look?" Specific scenarios reveal labeling problems that generic prompts miss.

Not testing with the right user segments

Novices find IA confusing that power users navigate easily. Run separate tests by user type; IA may need to support both through progressive disclosure or search.