VA.gov for U.S. Department of Veterans Affairs
Research and redesign of OZK.com’s IA to meet growing content needs
OZK's content was growing, and it had nowhere to go.
When Bank of the Ozarks rebranded to Bank OZK, a new website was needed to reflect the brand’s new tech-forward values. One of the most important aspects of the branding was to expand the navigation from the previous, over-simplified structure. Due to time constraints, a full content schedule was not determined before development was set to begin, so a temporary navigation solution was fashioned.
As more content was created, the secondary navigation of the site expanded and available space became a problem. With the addition of new verticals to the content structure, we had to go to the drawing board to redesign our navigation.
To see how our users conceptualize our content, I launched an open card sort study.
For the open card sort, 50 total users responded completed the task, and 6 were disqualified.
Our similarity matrix was divergent, so to help me understand our quantitative results on a more personal level, I watched the UserTesting recordings. I found that users had very different mental models for the categorization of our content.
Our users had three strategies:
With the open card sort data, I was also able to more accurately gauge logical naming conventions for our content.
Tree testing and iterating our IA design
Because our users had two separate but valid strategies for organizing our content, I hypothesized that a polyhierarchical navigation structure would serve our customers best. This would allow us to nest links like “Checking Account FAQs” under both the Checking & Savings Accounts and Help & Resources sections.
First I built an nav tree, including both content we already have and planned content from our roadmap. In order to group and name our content, we used the dendrogram and category names from our card sort data.
With the prototype, I achieved an 80% success rate and a 77% directness score across all of the tasks. The results were promising, with only a few points of failure that I reworked into the structure. Following some tree rework, I was able to rerun the test with 30 more users, improving our success rate by 7% and our directness score by 2%.
With a second iteration, I was able to achieve a 87% success rate and 79% directness score for the polyhierarchical navigation.
Desktop navigation
Due to the structure of the IA, we landed on a three-layer navigation:
From left to right, links become more specific and "less important." To emphasize the more important links, we make them much more visually salient with icons.
Mobile navigation
In order to reduce the amount of complexity in the mobile hamburger menu, I created a page representation of the mega menu (right).
This design allowed me to keep the mobile menu on a single level, without its own internal navigation. It also prevented additional development hours being spent on the mobile navigation being rewritten.