Discovery & Research
User interviews and platform data analysis helped identify driver needs, behavior, and friction points.

Making complex EV information simple and actionable
The B-ON experience needed to bring vehicle information, performance, maintenance, alerts, and community features together without overwhelming drivers.
The challenge was to create a clear, intuitive experience that helped drivers understand their vehicle, prioritize actions, and engage with the platform more confidently.
Key Pain Points
Research combined user interviews and platform analytics to understand how drivers interacted with the product and where the experience created friction.
The research focused on vehicle information, performance and maintenance guidance, and engagement opportunities.
Wanted one place for vehicle information
Needed clearer performance and maintenance guidance
Showed interest in gamification and progress tracking

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Vehicle information, alerts, performance, and community features were organized around driver needs.
Clearer information hierarchy helped drivers identify important tasks and next steps.
Complex vehicle and performance information was presented in a more accessible structure.
The redesigned experience encouraged more active and repeat interactions.
Clearer information hierarchy helped users understand what to do next.
Improved organization increased usage across multiple app modules.
Clearer alerts helped move users from missed updates toward more timely action.
Community features supported more active interaction between drivers.
The simplified experience increased confidence and satisfaction.
Features and workflows were mapped to real driver needs.
Interaction models were explored and refined through multiple iterations.
Designs were validated for usability, adaptability, and overall experience.

User interviews and platform data analysis helped identify driver needs, behavior, and friction points.

Insights were translated into structured journeys, information architecture, wireframes, and interactive prototypes.

Usability testing, prototype testing, data-driven evaluation, accessibility validation, and design QA supported iterative refinement.
Final interfaces were refined through iterative validation and design QA.
Reusable components, patterns, and design specifications established consistent implementation guidance.
Design and development requirements were aligned through structured handoff and collaboration.