Pilot-centric design; approach to real-time, data-enhanced flight operations





Stakeholders Management
User Research
Opportunity Mapping
Interaction Design
Visual Design
Usability Testing
Outcome: iOS 7 Windows App
Uncovering user needs: from feedback to actionable insights
I interviewed six commercial pilots who fly 4-5 domestic flights and work 12-14 hours a day, their insights revealed challenges in accessing real-time data and manual intervention and paper-based processes.
Integrated flight advisory dashboard
Unifies flight data, weather, fuel, and alerts into a single view, helping pilots make quicker, clearer decisions without toggling between multiple systems.
Digital flight briefing and collaboration
Replaces paper briefs with a shared, live digital folder. Improves coordination between pilots and dispatch, reducing prep time and manual errors.
Customisable workflows and tools
Allows pilots to personalise tools and layouts based on flying style and routes. Boosts comfort, control, and efficiency throughout the flight journey.
Seamless offline and online sync
Keeps key data available even with limited connectivity. Automatically updates when reconnected, ensuring uninterrupted access to flight-critical information.
Integrated flight advisory dashboard
Unifies flight data, weather, fuel, and alerts into a single view, helping pilots make quicker, clearer decisions without toggling between multiple systems.
Real-time weather and fuel Insights
Delivers live weather updates and dynamic fuel planning to avoid surprises. Helps pilots adapt to conditions confidently before and during flight.
UX is strategic business advantage, not just a design choice.
Interface to make critical data immediately accessible during high-pressure moments by adhering to SAE, FAA, and EASA standards. Optimising color schemes and typography for flight operations reduced training time and minimised errors, proving that aligning design with user needs and technical realities boosts efficiency and safety.
Data-Driven Insights enhance design precision.
Regularly analyzing usage data and user feedback provided clarity on the most and least used features, this guided in optimizing the EFF’s interface by prioritizing high-usage functionalities and refining or eliminating low-impact features.













