Worked on the n9e/fe repository to enhance alerting workflows by refining user interactions within the Alert Event Table. Delivered a targeted front-end feature that changed tag filtering from a single-click to a double-click, ensuring that only deliberate user actions trigger filtering and reducing accidental disruptions during alert investigations. This update established a consistent interaction pattern across two table components, centralizing tag-click behavior for easier maintenance. The work involved a concise React-based refactor using JavaScript and TypeScript, with clear, traceable commits for auditability. The result improved operator efficiency and data reliability by making alert filtering more precise and intentional.