IstoVisio · B2B · VR · Science
syGlass · May 2024

syGlass is a VR-based scientific visualization platform that helps scientists explore and analyze massive 3D datasets. As the platform evolved, the menu system grew to support an increasing number of tools and workflows, making navigation a critical part of the overall user experience.
The project focused on reducing workflow friction and improving access to high-frequency tools so scientists could stay focused on analysis instead of interrupting their workflow to search for functionality.
Problem
syGlass offered powerful scientific capabilities, but the product experience had become a barrier to efficient scientific workflows. Scientists constantly switched between tools while analyzing complex datasets, yet the interface required them to repeatedly scan through a dense list of tools to find the functionality they needed. These interruptions increased the risk of users switching to alternative solutions with simpler workflows.
The business needed to improve usability and reduce workflow interruptions without sacrificing the advanced functionality scientists relied on, while also helping reduce customer churn.
Solution
I redesigned the tool navigation system to make tools easier to access and faster to learn.
The redesign included:
Impact
80% of 32 post-launch survey respondents reported being more satisfied with the updated experience.
The redesign also:
My role
As the founding designer, I:
Before

After

When I joined, syGlass was already used for advanced 3D data analysis, but its navigation had grown harder to use as workflows became more complex. Over eight months, I redesigned the menu system as the sole designer. This case study covers one part of that work: how scientists reach and switch between tools during analysis.
I ran structured interviews and observational sessions with seven scientists in the United States and Europe, watching how they moved between tools during real analysis tasks. The pattern was consistent: scientists repeatedly interrupted their analysis to locate and switch between tools.
“I know the tool exists somewhere, but every time I need it, I have to stop and search for it again. After a while, it starts breaking your concentration.”
Research Scientist · Paris, France
Scientists relied on a small set of tools, but had to search and navigate again every time they switched.
Scientists often weren't sure which tools supported a task, leading to hesitation and trial and error.
Even experienced users lost momentum when switching tools, because the menu followed the interface's structure and not the sequence of their work.
I tested three navigation approaches to understand how scientists could access frequently used tools without repeatedly interrupting their analysis. In the first round, five scientists, from novice to expert, compared Concepts A and B side by side in A/B usability sessions.
Dropdown navigation

Persistent navigation bar

Both concepts improved navigation, but neither eliminated repeated tool searching. I explored personalized access next, allowing scientists to keep frequently used tools within reach.
Personalized workflow system

The final design pairs personalized tool access with task-based organization: scientists pin the tools they use most to their workspace, and the rest are grouped by the task they support.

Within the first 30 days after launch, 80% of 32 post-launch survey respondents reported being more satisfied with the updated experience. Faster tool switching is a qualitative finding from the usability sessions above, where scientists moved between pinned tools without returning to the menu.
Testing three navigation approaches showed me how easily an interface can become more organized without becoming more efficient. The deciding factor was how scientists used tools during real analysis, particularly the small set of actions they repeated most often.
I carried that distinction into the final design: make frequently used tools immediately accessible while keeping the rest of the system understandable and discoverable.