Mobile First

Uncovering How Users Really Find Doctors

March–June 2025 | UC San Diego Health

The Challenge

A physician complained that patients couldn't find the "Doctors" section on mobile devices. Leadership wanted to immediately add a prominent link to fix the problem. But was this actually the issue? Before making changes to our high-traffic homepage, we needed evidence. How were mobile users actually navigating to find providers, where was the real friction, and would adding another link solve the underlying problem or just clutter the interface?

Business Objectives

Validate the perceived problem with data before implementing solutions based on anecdotal complaints

Increase mobile engagement with provider content to support appointment booking and consultation requests

Understand device-specific behavior patterns to inform mobile-optimized navigation strategy

Improve conversion rates from homepage to provider pages, particularly on mobile where rates fell below industry standards

Make evidence-based recommendations for homepage real estate allocation and navigation architecture

My Role & Responsibilities

As Lead Researcher, I designed a multi-phase investigation combining baseline analytics analysis, search behavior evaluation, iterative testing of solutions (search optimization and homepage link addition), device-specific conversion tracking, and synthesis of findings into strategic recommendations for mobile navigation architecture.

I collaborated with the Content Director and Digital Experience team to ensure research directly informed implementation decisions while protecting the user experience during testing.

40.8% increase in mobile traffic to provider pages in first month post-implementation

16.5% increase in desktop traffic (demonstrating value for both platforms)

 

What I Learned

Data prevented a wrong solution: My initial instinct was to trust the physician's complaint and add the link immediately. Analyzing baseline data first revealed that while mobile conversion was indeed low, search behavior suggested search visibility wasn't the primary issue. Testing search optimization separately confirmed this, preventing us from stopping at a solution that wouldn't have worked.

Device differences run deeper than screen size: I expected mobile users would navigate similarly to desktop but with more friction. Instead, they showed fundamentally different behaviors—more homepage-dependent, less exploratory, preferring direct paths over search. This insight transformed how I think about mobile optimization beyond just responsive design.

Small changes can have outsized mobile impact: A single, prominently placed link increased mobile traffic 40%—far exceeding the 16.5% desktop increase. Mobile users' behavior is more sensitive to friction and more responsive to clear pathways. What seems like a minor addition on desktop can be transformative on mobile.

The absence of behavior is data: Mobile users weren't searching for doctors much at all (very low percentages for doctor-related terms). Initially I saw this as a measurement problem, but it revealed that users simply don't want to search for providers—they want to navigate directly. Sometimes what users don't do tells you more than what they do.

Research phases build on each other strategically: Each phase informed the next: baseline revealed conversion gap, search analysis showed underutilization, search optimization test proved it wasn't the solution, homepage link addition validated the real need. This sequential approach prevented implementing multiple changes simultaneously, which would have made attribution impossible.

Why This Project Matters

Healthcare websites serve users in high-stakes moments—choosing a provider can determine the quality of care someone receives. Mobile users, who often research on-the-go or in moments of immediate need, face unique challenges navigating complex healthcare sites. This research demonstrated that mobile optimization requires more than responsive design—it demands understanding fundamentally different user behaviors and meeting users where they are with direct, frictionless paths to critical content. By validating problems with data before implementing solutions, we avoided wasting effort on changes that wouldn't work while discovering an intervention that dramatically improved the mobile experience and increased access to provider information.


Research Methods: Analytics analysis • Behavioral data analysis • Sequential testing • Device comparison • Search behavior analysis • Conversion optimization

Skills Applied: Quantitative research • Hypothesis testing • Phased experimentation • Mobile UX strategy • Stakeholder communication • Data-driven design • Evidence-based optimization