Product Discovery for Proto’s AI Clinic Operations OS
Case Study: The Proto
Proto is building an AI-powered operating system for direct-to-patient clinics. Melt Studio supported early product discovery with design, architectural definition, and user story refinement during a July–August 2025 engagement.
THE CHALLENGE
Structuring Stories for an AI Clinic Ops Platform
Proto’s backlog evolved quickly, with many user stories created on demand. The team wanted stronger architecture direction and sharper story refinement to keep delivery moving and align with stakeholders across a local-time cadence.
INITIAL STATE
OUR SOLUTION
Design and Architecture Support to Accelerate Execution
Requirements
Clarifying What Matters Most
We translated on-demand requests into well-scoped user stories, clarifying acceptance criteria and making prioritization easier for the team.
Application
Design + Architecture Direction
Mauricio, our Frontend/Full Stack Developer provided design work and architectural definition, creating a clearer foundation for building an AI-powered clinic operations platform.
Prototype
Release
Design work for the AI-powered clinic operations platform.
Architectural definition to create a clearer technical foundation.
User story refinement translating on-demand requests into well-scoped stories.
DELIVER STATE
CUSTOMER FEEDBACK
Positive Stakeholder Feedback on Design & Direction
Despite challenging project circumstances, lack of formal planning of on-demand scheduling conflicts, the client contacts (Vihar and Nicholas) expressed satisfaction with the earlier work. The engagement concluded by mutual agreement on August 15, 2025.
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Alex Vans
Choros
October 29, 2025
I was crawling; I’m walking now. I finally have the peace of mind to stop worrying about crashes and start listening to my users.
October 29, 2025
Avani Kanubaddi
Brandtuit
December 30, 2025
Thanks, everyone, for the hard work that went into this first beta client. We have now officially released our first Zena report to a client. We will meet with him on Monday to review his candid feedback on what is working well and what needs improvement.
This was a significant step, so we should take a moment to commemorate and celebrate it. We will have two more beta tests in the new year, so the work continues. As we turn the calendar, I wanted to take a moment to appreciate this team. I wish everyone a fantastic start to 2026, and I hope we can continue to build on this promising start.
December 30, 2025
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