This initiative aims to enhance the UX of data tables in an enterprise setting by optimizing layouts, improving sorting and filtering, and ensuring better mobile responsiveness.
UX/UI designer
Design team, Design systems lead
Web responsive
Data tables are essential for presenting structured information in enterprise software, yet they often create friction for users trying to find, analyze, and act on data efficiently. In many cases, this stems from overlooked usability gaps—and I’ve made it my mission to identify and document these pain points, using those insights to guide improvements that simplify interaction and support better decision-making.
My research focused on how companies structure data-heavy tables across both large and small screens. I looked at how different layouts handled density and interaction, and how default states impacted usability—ensuring that key information remained visible and actionable without overwhelming users. Performance and responsiveness were also key factors in evaluating how these patterns held up across platforms.
During the ideation phase, I focused on categorizing the different data table experiences by function and use case, creating a framework that would allow for consistent and intuitive user interactions.
As part of the iterative design process, I am exploring various ideas to improve the usability and efficiency of data tables. While some approaches show promise, others have revealed challenges during testing, providing valuable insights:
These ongoing tests and insights are shaping the next phase of design iterations. By addressing these challenges, I aim to deliver a solution that balances functionality, clarity, and ease of use while meeting user needs.
In enterprise environments with significant design and tech debt, I prioritize defining high-level standards before making changes. This ensures updates are aligned with best practices and lay a scalable foundation for consistent, user-centered improvements.