Independent product + research work
I designed Carefully's identity and core experience from first concept through testing, with a focus on calm, clarity, and psychological safety in a high-stakes context.
The problem
Patients feel overwhelmed and powerless when searching for providers who fit their specific needs. Medical bias makes it harder still, so the people most likely to be dismissed (often members of vulnerable populations) struggle to find safe, competent care when they need it most.
Four pain points surfaced in research. These three shaped the design:
My role
On this independent project I owned every stage, from the first interview to the final test, and built the system the work runs on.
Mapping the experience
I mapped the whole journey before designing a single screen, so the prototype had a spine to test against. Fourteen steps resolve into three phases, with the system handling identity and insurance along the way.
Testing the prototype
An unmoderated, remote study put the low-fidelity prototype in front of target users and asked them to find and book a provider. The goal was to see where the flow held and where it broke, before investing in high-fidelity design.
What testing revealed
Participants understood and valued Carefully's trust infrastructure, even while hitting friction in the lo-fi flow. The usability score was strong, but the qualitative signal mattered more: the concept was sound, and the path forward was about execution, not direction.
I translated each point of friction into a ranked set of redesign actions, the brief that drives Phase II's high-fidelity build.
Dead ends in navigation
Rebuild core navigation and back paths
Low-fidelity visuals cost credibility
Move to high-fidelity, on-brand UI
Too few real provider options
Expand and populate provider results
Trust signals resonated with users
Make them central, not optional
The hard parts
Phase 1 had no client, no brief, and no deadline. It started as a lo-fi prototyping exercise inside a certificate course and became something I chose to take seriously, which meant every constraint was one I set myself.
I knew I wanted to connect people in vulnerable populations to culturally competent care but this brief was far too vague to design against. Before I could draw a screen, I had to prove the problem was real, patterned, and documented.
My moveI read widely on medical bias and synthesized it into a foundational research report that made the case for why this product should exist. Four failure patterns came out of it, and they became the spine of everything after.
The course offered pre-written project prompts that would have been faster, safer, and easier. Choosing my own concept meant spending time and energy I did not have on an idea with no external validation, at a point when Carefully was purely a concept with nothing functional about it.
My moveI owned the problem. Carefully was born from my own encounters with the healthcare system. As I progressed, the motivation to energy cycle consistently regenerated itself. Finishing one phase produced enough momentum to start the next.
Initially, I had framed Carefully entirely around patients. Then I read a piece by a UK physician describing how in an overworked system communicating with patients, particularly across cultures, is the hardest part of the job. Pain is difficult to convey in both directions, and there are almost no solutions that address that.
My moveI followed the thread instead of filing it away. That article seeded what became Carefully's secondary user, the burnt out but still idealistic provider, and reframed the product from a patient tool into a two-sided communication problem.
I was refining my UX knowledge, learning Figma, and building Carefully all at once, while also studying learning design so I would get more out of the process itself. Early on, a simple mockup could eat an entire afternoon.
My moveI gave the learning curve its own dedicated push instead of letting it bleed into the design work. About a week in I knew where everything lived, and the tool stopped being the obstacle.
Recruiting participants, designing the study, chasing screen recordings, running the survey, and calculating the SUS score all amounted to slow, challenging work but I seldom missed a beat. Then a participant I barely knew returned harshly negative feedback, and it flattened me for three days.
My moveI kept it in the study as key feedback rather than dropping it, and it became one of the most consequential inputs into Phase II: a healthcare product has to look and feel competent before anyone will trust it with their body. On recruiting, persistence worked. I talked about Carefully openly and framed it around healthcare failures most people in my network had lived through themselves.
Phase 1 taught me that a self-directed project only survives if the problem you're trying to solve fuels you, and that the feedback you least want to hear is usually the feedback you most need to hear.
Next project
The high-fidelity redesign, plus a behavioral study testing whether trust signals change who patients choose.