Guided by our 11 user personas and sitemap architecture, we transitioned from discovery into structural design to translate strategy into tangible user paths. To solve the challenge of sifting through dozens of legacy pages, we leveraged AI tools to audit, synthesize, and organize heavy clinical text that we could insert to concise, scannable content blocks. This allowed us to define clear information and rapidly populate low-fidelity wireframes, providing stakeholders with an early visual baseline.

Once stakeholder feedback was integrated, we elevated the wireframes into high-fidelity designs, where I focused on crafting two critical interaction systems. I helped design a dynamic location and service filtering interface that allows B2C patients to quickly locate clinics by proximity and available services. Additionally, I established a color-coded tagging system that visually categorizes types of website content across all pages. Together, these responsive UI components streamlined navigation for patients while establishing a scalable design system ready for QA testing and developer handoff.