Opfyx
Partnering with an aviation startup to help build the future of aviation. Designs that touched everything from raw sensor data to the pitches aimed at winning new business.
Role
Senior Product Designer
Type
Aviation Ops
Early-stage Startup
SaaS
Timeline
7 Months (2026)
The Problem
An early-stage aviation ops startup needed to both win new enterprise clients through strong RFP-ready product work, and mature a core platform inherited from a previous design team.
What I Did
Took over design end-to-end — core flows like navigation, authentication, and chat, plus a real-time ops dashboard that meant learning aircraft turnaround operations from scratch to design it well.
Result
Most designed features shipped, including AI-assisted flight and aircraft popups. The engagement wrapped due to Opfyx's funding timing, not performance.
Cleared for takeoff (eventually)
I joined Opfyx as a contractor, taking over design from a previous studio at a startup building tools for the whole aviation ecosystem — airlines, airports, ground handlers. The flight dashboard and AI-generated shift handover summary above are two clear examples of where that work landed: dense operational data made scannable, with AI doing some of the reading for the team. Getting there meant learning a domain I knew nothing about first.
The turnaround view needed to surface real-time information pulled from multiple disconnected systems and sensors, arriving as raw, unstructured data. Rather than decorate the mess, I proposed smart tables — a dense, scannable view built for people working under real time pressure.
When something goes wrong
The alert view adapts to whatever raw data triggered it — sensor feeds, FeedbackNow, whichever source crossed a threshold — giving ops staff what they need to triage the issue, escalate it, or assign it, without digging through the source data themselves.
A huge amount of day-to-day coordination happened outside the dashboards, in chat — so messaging got just as much design attention, down to voice notes and quick reactions.
Keeping tasks clear, and letting AI help
Task management needed the same clarity as the dashboards — always answering one question fast: what do I need to do right now? Layered on top, AI took on some of the reading itself, distilling unread messages into something scannable instead of something to scroll through mid-shift.
Beneath the day-to-day screens sat a harder structural problem: allocating limited resources — gates, staff, equipment — across a system that never fully stops moving.
And because Opfyx works across multiple operators, the system had to flex — the white-labelled views shown here are proof the structure holds up across different brands, not just one.