Tree Testing
Evaluate the findability of content within a hierarchical structure without visual design influence.
Research Classification
Research Type
Attitudinal Behavioral
Behavioral: Focuses on what people do: their actual behaviors and actions.
Data Type
Qualitative Quantitative
Qualitative: Collects non-numerical data like observations, interviews, and open-ended responses.
Requirements
Budget
lowMinimal resources required
Timeline
short1-2 weeks
Team Size
singleCan be conducted by one person
Research Goals
information_architecture evaluation
Pros & Cons
Pros
- ✓ Tests navigation without visual distractions
- ✓ Identifies findability issues
- ✓ Can be conducted remotely
- ✓ Provides quantitative metrics
Cons
- × Limited to testing hierarchical structures
- × Doesn't evaluate visual design elements
- × May require specialized tools
Use Cases
Example Scenario
Testing whether users can find specific products within a multi-level navigation structure.
Additional Applications
- • Website navigation testing
- • Information hierarchy validation
- • Menu structure evaluation