Another critical area I worked on was Discovery Scan Scheduling, a feature essential for keeping sensitive data discovery accurate and up to date. Previously, scans had to be triggered manually or managed inconsistently, which led to outdated insights and increased operational effort for customers.
My role was to take the initial feature concept and turn it into a fully functional, intuitive scheduling experience that allowed users to automate recurring scans with confidence. I went through multiple design iterations, conducted internal testing with stakeholders and cross-functional teams, and refined the flows based on feedback.
Throughout the process, I worked closely with engineering to ensure the solution was technically sound, scalable, and aligned with existing platform patterns—ultimately shipping a feature that reduced manual effort and improved data visibility for customers.
