SUS | Qualitative & Quantitative | Card Sorting | Tree Testing
Figma | FigJam | UserTesting.com | Content Square
E-Commerce | B2C
Fashion | Retail
Executive Summary
I spearheaded a comprehensive overhaul of Vans’ Information Architecture and taxonomy to enhance site navigation and product discoverability. Through rigorous user research and data analysis, I refined category structures and labeling within the mega menu, facilitating more intuitive user interactions. This case study outlines my four-phase test plan, methodologies, challenges encountered, and the resultant impact of these IA enhancements.
I initiated the project by analyzing performance metrics of Vans’ existing mega menu using Content Square. Upon identifying key pain points, I formulated a hypothesis and developed a preliminary test plan, which I presented to the brand’s stakeholders.
This initiative expanded to involve Vans’ marketing and product catalogue teams, evolving into a comprehensive project. Below is an overview of my four-phase plan to revamp Vans’ taxonomy.
1. System Usability Scale
The SUS is a standardized questionnaire used in UX to assess the usability of a product by measuring the ease of use, efficiency, and overall satisfaction experienced by users. It provides a quick, quantifiable way to evaluate user perceptions.
In the context of the Vans IA and taxonomy overhaul, SUS results identified critical pain points in site navigation, content discoverability, and overall usability. Users faced challenges locating products and navigating between categories, indicating inefficiencies in the existing information architecture.
These findings informed the prioritization of structural changes, including reorganizing the taxonomy to establish a more intuitive hierarchy and refining labeling conventions. Addressing the issues highlighted by the SUS scores enabled the design of a streamlined IA that reduced user friction, enhanced overall experience, and aligned the site more closely with user expectations. The SUS insights were pivotal in guiding data-driven decisions throughout the project.
10 Participants (M, F, NB) | Ages 18-30 | Desktop | US & Canada
Hypothesis: Users may not be familiar with Vans shoe names to the extent that they can effectively find them through the mega menu.
Goal: Gauge users familiarity & knowledge of Vans shoe styles. How & where on the website can this be made most helpful to users?
Methodology: To address friction points uncovered during the System Usability Scale (SUS) study, I collaborated with stakeholders to review key site metrics. This helped pinpoint product pages with the lowest engagement, as well as Vans’ best-selling styles.
A final selection of 21 shoes was presented to 10 users, who were asked to match shoe names from a list. Users could select multiple answers, allowing me to identify overlapping confusion. Follow-up questions probed the reasoning behind misidentifications and how users perceived each shoe’s intended activity.
Primary Pain Points
Thematic Findings
This insight led to refining category groupings and renaming ambiguous labels, ensuring the taxonomy aligned with user expectations and enhanced product findability.
While consumers may recognize the brand’s classic styles, they often struggle to identify specific names. This suggests a gap in consumer knowledge regarding the brands’ catalogue.
30 Participants (M, F, NB) | Ages 18-30 | Desktop | US & Canada
Hypothesis: Users are less familiar with Vans’ existing nav structure and/or some terminology in it.
Goal: Get a holistic view of the average users’ Mental Models to discover new ways we can categorize our products.
Method: I moderated 30 open sort sessions using a self-made Figjam template.
Cognitive Load: Some consistency & consolidation is required in the mega menu. Most users felt overwhelmed not just by the number of menu items but also by unfamiliar terminology°
Unisex Appeal: Vans’ embrace of Unisex Fashion resonates with users, reflecting the brand’s inclusive & versatile styles.
Utilize Website Real Estate: Secondary mental models & user needs can also be met with a more intuitive Filter, PDP, Footer & Utility nav experience.
I love using In/Tension modeling, a powerful synthesis method that turns conflicting data into insights. Instead of dismissing polarized perspectives, I dive into them—collecting both dominant and secondary mental models from users. By mapping these models with graphs and charts, I visualize the differences and zero in on the overlapping behaviors and pain points that reveal unexpected connections.
During this card sort, I noticed something fascinating. Users were conflicted about how they shop by gender, and as I rewatched the sessions, I saw many actually revise their initial card organization. It was almost as if they were battling a deeply ingrained urge to shop by gender—a structure they’ve grown used to. It was an exciting moment, witnessing that shift in mental models and realizing how fluid user thinking can be when prompted to reimagine their choices.
During these moderated sessions, I probed into why users revised their card sorting and found that their perception of the Vans brand played a major role. Vans, associated with the gender-neutral look of skate and BMX culture, led users to shift from traditional, gender-based shopping habits. Initially, many defaulted to sorting by gender, but as they reflected on Vans’ unisex appeal, their mental models changed. This revealed how strongly brand identity can influence and reshape consumer behaviors, even overriding ingrained shopping patterns once users recognized the brand’s inclusive philosophy. (Read more here)
Validation: I scheduled a touch base with stakeholders to ensure we are aligned with business goals before conducting a closed card sort.
Testing: After incorporating stakeholder feedback with user insights, I tested fundability of Vans resources in this navigation structure on 100 users.
Performance Metrics: Final changes were made after share out with stakeholders. The taxonomy was further updated based on performance metrics from content square.
As the next step in my research, I conducted a closed card sort using predefined categories finalized with stakeholders to validate findings from Phases 1 and 2. The results were promising: the genderless model resonated with Vans users, and both Vans and non-Vans users appreciated the improved context and consistency in the mega menu. While sorting was smoother, with fewer discarded cards, users still experienced cognitive overload and highlighted the need for consolidation, providing clear direction for refining the model further.
To test the usability of the new taxonomy structure, I conducted a tree test to evaluate user navigation within the information architecture. The findings revealed that users appreciated the simplistic and consistent labeling, which enhanced their navigation experience. However, 48% of users expected to find “Checkered” under Vans Classics, highlighting a menu oversight. Additionally, “Vans Customs” and “Off the Wall” were challenging to locate, as many users were unfamiliar with these categories. This feedback underscores key areas for improvement in the overall menu organization.
The results of our overhaul have been remarkable! In just three months post-launch, we saw a 35% increase in user engagement and a 25% reduction in bounce rates, showing users can find what they need more efficiently. User satisfaction ratings also rose by 40% in post-launch surveys, demonstrating the new design’s positive impact. These metrics validate our efforts and motivate us to keep enhancing the user experience. I’m excited about our achievements and eager to apply these insights to future projects!
Pretty easy to browse through…Umm I would say well labelled and well organized!
