Renaming and organizing large image sets in pathology labs was a cumbersome, error-prone task that affected efficiency and accuracy. As a UX/UI designer with expertise in digital imaging, I undertook the challenge to transform this process into a seamless and user-friendly experience, ensuring precision and consistency in every step. The Problem Understanding the Challenge Pathology labs relied on an outdated image renaming tool that was both inefficient and error-prone. Its unintuitive interface led to frequent mistakes, while the absence of advanced features and error-handling mechanisms resulted in inconsistent naming conventions. These shortcomings negatively impacted lab efficiency and raised concerns about the potential downstream effects on patient care and diagnosis accuracy. The Process Empathy-Driven Innovation To truly grasp the needs and frustrations of operators, I immersed myself in their daily workflows. Drawing on my expertise as a digital imaging operator, I conducted observational research, interviews, and a CPM-GOMS task analysis to pinpoint areas for improvement. With these insights, I designed and iterated on three prototypes, incorporating operator feedback at each stage. The final design emerged as a highly intuitive and efficient tool, validated through rigorous user testing and stakeholder input.