Melissa Navarro

Lead UX for the MDMs Diverge platform, a complex metering data management solution used by Data Services Administrators across New Zealand and Australia. Design workflows for meter data review and management, consumption information, data streams, ICP records, retailer data sharing, ad hoc processes, and exception handling, supporting diverse operational and regulatory use cases. Create user experiences that simplify sophisticated workflows for complex SaaS. Maintain and evolve the design system for scalability and consistency across products. Produce high-quality designs and interactive prototypes in Figma and collaborate with Product and Engineering teams to deliver user-centered outcomes. Plan and analyze usability testing, surveys, and product metrics to guide design decisions; explore new tools and AI-assisted workflows to improve efficiency and collaboration.

Currently leading the project of AI-Assisted Notes, the first and only AI-powered feature at ezyVet, designed for a global user base with launch planned to over 110,000 users worldwide. Collaborate with designers, stakeholders, and development teams using Agile methodology. Participate in DesignOps and ResearchOps teams to create guidelines, tools, processes, and ways of working. Contribute to the design system team by developing new components and versions tailored for mobile and desktop platforms, implemented in React.

Focused on UX design for a SaaS platform (SAM) on Atlas Platform. Conducted discovery research and created use cases, wireframes, UI designs, UX workflows, and led usability testing. Worked closely with UX researchers, development teams, and stakeholders to translate findings into usable and effective product experiences.