Volkswagen Trucks

Designing a mobile experience for safer driving and better rest habits.

Context

Professional drivers operate in demanding, unpredictable environments.
Rest stops are short, attention is limited, and usability isn’t optional, it’s critical.

This project focused on creating a mobile experience that supports better rest habits and clearer reward understanding, helping drivers make safer decisions on the road.

The challenge

The interface had to work fast, under pressure, and with minimal cognitive load.

Drivers needed to:

• quickly understand sleep data

• clearly see how rewards worked

• interact with the app in real-world conditions, not ideal ones

The challenge wasn’t feature depth.
It was clarity, speed, and trust.

The approach

The design process started from real context, not assumptions.

User interviews and field insights shaped the interaction model, focusing on:

• immediate comprehension

• reduced steps

• clear visual hierarchy

The experience was designed for brief stops and fragmented moments, not for long, focused sessions.

My role

UX/UI Lead, responsible for defining user flows, interaction patterns, behavioral logic, accessibility standards, and layout strategy — from concept to validation.

Process

• User interviews and context discovery

• Pain-point mapping and behavioral analysis

• Flow and interaction design

• Responsive UI and accessibility refinement

• Usability validation in real-use scenarios

• Iterative improvements based on driver feedback

Solution

A clear, intuitive mobile interface that allows drivers to track sleep quality and understand reward mechanics at a glance.

The design emphasizes:

• immediacy of action

• visual clarity

• low cognitive effort

Everything was built to support on-the-go use, without distraction or friction.

Result

The experience encouraged healthier rest habits and supported safer driving routines.

Beyond the screen, the interface helped reduce on-road risk and reinforced long-term driver wellbeing, showing how UX design can meaningfully influence behavior in real conditions.