Optometry, from the couch.

Pandemic life rewired everyday processes — work meetings, happy hour, holiday dinners. Medical and mental health services already had a digital head start, but optometry hadn't yet.

Warby Parker customers needed an app that let them measure their eyesight at home, try and select new frames, and apply the new prescription directly to a purchase — all without setting foot in a store.

Four-person team across research, writing, and design. My role was researcher and writer — translating the problem space into design briefs and supporting the design iterations with insight, copy, and testing.

Research focused on at-home eye-measurement comfort, frame-selection confidence without in-person try-on, and the trust gap around remote prescriptions. The direction: a guided flow that handles each of those uncertainties as a discrete, low-stakes step.

Conceptual projects are easy to fake. You can invent a persona, sketch a flow, and call it strategy. I refused to do that — even in a two-week sprint, the research had to be real or the design would be untethered.

I framed the problem as three distinct trust gaps: the at-home measurement gap (will this actually be accurate?), the frame-selection gap (will I look right in these without trying them on in a mirror with a stranger?), and the prescription-application gap (do I trust this number enough to buy glasses against it?). Each gap got its own research question and its own design treatment.

That framing turned a sprawling "reinvent optometry" brief into three solvable design problems with a clear order: measurement first, because nothing else matters if that step fails.

Researcher and writer on a team of four. I ran the secondary research on telehealth adoption patterns during the pandemic, wrote the design brief that framed the three trust gaps, drafted the in-flow microcopy that did most of the trust-building work, and co-led the testing rounds on the measurement-flow prototype.

Two weeks didn't leave room for accessibility validation on the at-home measurement step, and a real version would have to prove that measurement step works across vision conditions, lighting, and device cameras before anyone shipped it. I'd put that validation on the critical path for round two.