Design
DocVine: Doctor Discovery App
DocVine is a vibe coded doctor discovery app replacing anonymous online ratings with trusted recommendations from your real network and condition-specific communities.
My Role
User Researcher and UI/UX Designer
Duration
2 months
Tools
Miro, Lovable, Claude, Antigravity
Link
Overview
Challenge
There's no standard way of finding a doctor and more than 60% of patients report they want more information when deciding where to get care.
Solution
Good doctors have always traveled by word of mouth. We just made them findable through DocVine.
Research
We synthesized user research and competitor analysis into How Might We statements in Miro, generated 40+ concepts, and applied 3 prioritization frameworks (effort-vs-impact, desirability/feasibility/viability, MoSCoW) to converge on DocVine.
High-stakes decisions, untrustworthy sources
Patients default to Google, Reddit, and insurance portals—sources that weren't built for this. Reviews are anonymous, years old, and lack context. Some patients don't realize it. The ones who do still don't have a better option.
"Good doctor" looks different for everyone
People ask before they search
Design
We created user journey maps, low-fidelity wireframes, and 5+ user flows before arriving at the vibe coded prototype in Lovable.
Results
We vibe coded a functional mobile app prototype in Lovable using Claude and Antigravity for design direction, iterating 3 times across 8+ user tests, implementing changes including keyword search and streamlined onboarding, co-presenting the solution at the live final. Click on the links below to access the app and presentation deck directly:
