Real Roads. Real Learning. Real Smart.

Driver's education today is inconsistent and outdated. Programs vary drastically by region, often relying on stressed-out parents or overbooked instructors to fill in the gaps. Students are overwhelmed—juggling school, work, and anxiety—while being expected to master one of the most high-risk skills they'll ever use.
Traditional driver's ed hasn't adapted to how teens actually learn. It fails to integrate modern tech, real-time feedback, or personalized experiences. Without tools that meet them where they are, many new drivers hit the road underprepared and uncertain—putting both their safety and their community at risk.
Duration
16 Weeks
Team Size
5 Members
Research
135+ Participants
Eight teens die each day in motor vehicle crashes in the United States.
Driver's education reduces fatal crash rates by nearly 20% in the first year of driving—but only when it's effective. The current system is failing to provide the consistent, modern, personalized instruction that today's learners need.
Anxiety and overwhelm interfere with learning. Without confidence-building tools and immediate feedback, students struggle to develop safe habits and retain critical skills.
Parents feel ill-equipped to teach driving, yet they're expected to supervise 50+ practice hours while managing busy lives. The burden is unsustainable.
We combined interviews, surveys, and secondary sources to understand the current state of driver's education. We engaged with 135+ participants, gathering over 1,500 data points that revealed clear patterns in what new drivers need.

We deconstructed the learning flow to identify where students struggle and where curriculum gaps exist.
We analyzed existing driver's ed curricula to understand what students are taught and where the system falls short. Click each module to explore topics.
We mapped competitors across educational depth and gamification to identify our unique positioning in the market.

Multiple rounds of sketching helped us explore interface concepts that reduce cognitive load while maximizing feedback.
Teens need encouragement and trust, not just instruction. Anxiety slows learning while confidence drives performance and retention.
Gen Alpha expects visual, interactive, and immediate feedback. Traditional methods fall short without the digital tools teens use daily.
Generic driver's ed fails students. They need experiences that adapt to their individual pace, skills, and unique challenges.
Chiron is an in-car AI system that meets learners where they are. It provides real-time feedback during actual driving, combining interactive simulations with personalized coaching to build skills progressively—reducing cognitive load while maximizing learning.

Every design decision was driven by our commitment to reducing cognitive load while building confidence. We tested, iterated, and refined to ensure Chiron felt intuitive and supportive—never overwhelming.
We established Chiron's friendly, approachable, and knowledgeable brand personality through a cohesive visual design system. The goal was to make AI assistance feel supportive rather than intimidating.


Learning to drive is already overwhelming. We designed every interface element with cognitive load in mind—prioritizing clarity, minimizing distraction, and presenting information only when needed. The result is a system that guides without overwhelming.

We conducted comprehensive usability testing with 3 participants across 8 tasks, plus 1 expert consultation. The system achieved an average System Usability Scale (SUS) score of 89—well above the 68 passing threshold—validating that Chiron delivers on its promise of ease and effectiveness.


"This system was a great mix of visual and simulation exercises. It's a great tool for learning the basics; I wish I'd had it back in my day."
— Usability Test Participant
It's about timing, context, and progressive disclosure. Every design decision had to balance providing enough guidance without overwhelming an already-stressed learner.
The gap between what students said they wanted and what actually helped them learn was significant. Testing with real users was essential to getting this right.
Coordinating between UX designers, developers, and researchers taught me the importance of clear communication and shared goals. Every sprint needed intentional prioritization.
Chiron represents more than just a product—it's a vision for how technology can make essential life skills more accessible and effective to learn. By meeting students where they are, reducing cognitive load, and building confidence through personalized feedback, we can create safer roads for everyone.
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