A structured, research-driven process that puts patient needs at the center of every decision.
We start by mapping your current content ecosystem. Every page, every template, every user flow. We analyze analytics, conduct stakeholder interviews, and identify redundancies. For a 2,500-page site, this typically takes 2-3 weeks.
We define your core user groups through research, not assumptions. For healthcare, this usually means: patients seeking care, patients in active treatment, caregivers, referring physicians, and community/donors. We map their distinct needs and mental models.
This is where we build the ideal structure. We create multiple IA models, test them with real users, and iterate. The goal: reduce cognitive load, eliminate duplicate content, and create clear pathways for each user type. We design taxonomy, navigation, and search strategy in parallel.
We test the new IA with real users through tree testing, first-click studies, and prototype walkthroughs. We refine based on data, not opinions. This phase ensures the architecture actually works before a single line of code is written.
Every IA decision is validated against real user needs. We don't design for stakeholders or search engines—we design for the person trying to find care at 2am.
We treat content with the same rigor as product design. Every page must justify its existence. If it can't, it gets consolidated or cut.
Healthcare organizations grow and change. We build IA frameworks that accommodate new services, locations, and content types without breaking.
We use analytics, search data, and user testing to guide every choice. Gut feelings have no place in IA work.
We'd love to hear about your current site challenges and user needs. Most discovery calls take 30-45 minutes.
Get in Touch