Discoverability is cut almost in half by hiding a website’s main navigation. Also, task time is longer and perceived task difficulty increases.
WHY THESE RESEARCH METHODS?
A tree test is an IA-focused technique conducted to determine if mission-critical information can be found in the site’s IA. It does not display the user interface to test participants; they navigate using only link names.
- Are the names of categories understandable?
- Do the category names accurately convey content?
- Is content categorized in a user-centered manner?
- Are content titles distinguishable from one another?
- Is information difficult to find because the structure is too broad or too deep?
- Direct success rate: How many participants found the right answer without having to go back up and down the tree?
- Indirect success rate: How many participants got the right answer, but had to navigate back up and down the tree to find it?
- First-click data: Which tier-1 categories did users click first? First clicks are a good indicator of the strength of category names.
Open card sorts are an IA-focused method conducted to evaluate the strength of category names.
- How do users find information?
- Which navigation components are utilized?
- Which navigation components go unnoticed?
- Which navigation components are avoided?