What does Navi Do?

Context: Navi AI is an advanced flight training platform that leverages AI to assist pilots in pre-flight preparation and post-flight debriefing.

Challenge:The existing flight recording feature, crucial for capturing in-flight data, suffered from high user drop-off rates due to unclear visual cues and a lack of real-time feedback.

Objective:Redesign the flight recording flow to enhance usability, instill user confidence, and ensure reliable data capture under high-stress conditions.

CREATIVE LEAD

The creative lead was impressed with the idea - he saw great value in the new solution and how it can impact the number of flights uploaded per day.

ENGINEERING

Collaborated with engineering and participated in front-end development and swift animations for the flow.

Design Prototyping

Created multi-path interaction flows across five core states: Idle, Active, Error, Recovery, and Syncing.

Each prototype was tested in Low-light, glare-heavy, and glove-worn contexts. It was also tested in varying cockpit environments (noise, vibration, temperature)

Field Testing

I personally tested the prototypes in-flight and conducted 4 full flight sessions recording live data from cockpit audio. I also conducted beta sessions with instructors at varying altitudes and aircraft types.

Engineering Audit Report

Worked directly with engineering to resolve

Flag and resolve sync timeouts, race conditions, and state mismatch issues

Design error-tolerant flows e.g., if a user started recording with no GPS lock, we paused sync and clearly informed them of what's being captured

Optimize waveform performance using lightweight audio rendering with decoupled UI updates for smoother feedback