Go back
R - Concept app helping drivers plan their next stop
Year
2025
Design
Quentin Guérandel
Dev
Quentin Guérandel
Context
Long journeys require breaks, yet most drivers still make these decisions reactively rather than by choice. Rest stops are discovered through road signs, GPS suggestions, or habits, often without confidence in what’s ahead. Existing navigation tools focus on efficiency, offering little insight into whether a stop truly meets drivers’ needs. R explores how clarity, anticipation, and personalization can help drivers plan their breaks with confidence instead of enduring them.
Problem
Early research highlighted a recurring insight:
“Stops are not chosen, they’re endured.”
Most drivers don’t actively plan rest stops. They react to fatigue, hunger, or family needs, relying on road signs and timing rather than reliable information.
Existing solutions offer limited or outdated data, often missing critical details such as pricing, crowd levels, or service quality.
Research combined a survey (50+ respondents), in-depth interviews, and journey mapping, revealing two main profiles:
The Practical → prioritizes speed and efficiency.
The Selective → willing to drive further for a better experience.
Challenge
How might we help drivers anticipate their next stop and make confident decisions without adding friction to their journey?
Solution
The solution focuses on anticipation, relevance, and clarity.
Drivers can view upcoming rest areas along their route, filter them by personal needs (food, WiFi, green spaces, fuel price), and access reliable, up-to-date information before making a decision.
The experience is designed to minimize cognitive load and reduce friction between choice and action.
The core flow:
Define or sync a trip with a GPS app
Browse upcoming stops in list or map view
Filter by services and preferences
Select a stop and launch navigation instantly
Edge cases (no connectivity, outdated data, rerouting) are handled through fallback content, clear timestamps, and quick re-sync options.
Outcomes
Clearer decision-making with reduced stress during stops
Improved perception of control and anticipation while driving
A first stable UI validated through iterative testing
A qualitative testing phase is currently underway to validate clarity, usefulness, and overall comprehension before moving toward a pre-MVP build.
