Race Data AI

Telemetry For Simracers for Driven AVS

This project redefines sim racing analysis by creating a user-friendly telemetry tool that bridges virtual and real-world racing. It simplifies complex data with interactive track maps, customizable dashboards, and lap comparisons. Developed with iterative feedback from sim racers, the design offers accessible yet detailed insights to optimize performance. Combining innovation and usability, it empowers racers to continuously improve and better understand their racing data.

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Race Data AI by Cansu Cetin

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Telemetry For Simracers by Cansu Cetin

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Cansu Cetin Race Data AI

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Cansu Cetin Telemetry For Simracers

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Race Data AI Telemetry For Simracers Press Releases

Press releases for Race Data AI are now accessible in these languages: English.

Unique Properties

This design transforms sim racing analysis with intuitive data visualization and advanced telemetry tools, providing racers with actionable insights. Its user-focused approach ensures accessibility while maintaining technical depth, featuring interactive track maps, customizable dashboards, and seamless lap comparisons. Personalized analysis tools and community-driven feedback make it a standout solution for improving performance and bridging the gap between virtual and real racing.

Tags

Telemetry analysis, real-time data processing, racing insights, sim racer tools, user experience design, user-centric design,

Production Technology

The design was developed using an iterative UX/UI process, emphasizing user feedback from sim racers. Wireframes and prototypes were created to test and refine key functionalities, such as telemetry data visualization and lap comparisons. Agile methodology was employed to allow for continuous improvement based on user testing. A modular design approach ensured flexibility, while data-driven insights guided the creation of interactive features that prioritize performance optimization and ease of use.

Design Challenge

The hardest part of this design was simplifying complex telemetry data without losing essential details. The challenge lay in balancing technical depth with user accessibility, as racers needed both detailed insights and easy navigation. Historical perspectives of traditional racing tools influenced the design, but new technology offered opportunities to innovate. External factors, such as varying levels of user expertise and limited research on specific racing behaviors, also presented obstacles, requiring extensive user feedback to refine the product.

Project Duration

The project started in May 2024 in Turkey and finished in December 2024 in Canada.

Operation Flow

This design helps sim racers improve their performance by providing easy-to-understand data about their racing. Users can view their racing line, speed, and other key information to see where they can improve. By comparing laps, racers can find areas to optimize, such as braking and acceleration points. The design allows for simple interactions like clicking on turns to get more detailed feedback, making it easier to focus on key areas for improvement and achieve better results over time.

Research

The research combined qualitative and user-centered studies to understand sim racers' needs and behaviors. The goal was to simplify telemetry data presentation to enhance performance. Insights were gathered through interviews, surveys, and online community observations, involving both casual and competitive sim racers. Results revealed a preference for simplified, interactive interfaces, informing a design that improves performance and user experience in virtual and real-world racing.

Inspiration

The project was inspired by the challenges sim racers face in translating virtual performance to real-world racing. Recognizing the complexity of existing telemetry tools, the goal was to simplify data analysis while enhancing usability. Drawing from user interviews, market research, and technical studies, the design combines intuitive features with a user-centered approach to help racers optimize performance and make the most of limited practice time.

Project Overview

Race Data AI Telemetry For Simracers has been a Iron winner in the Interface, Interaction and User Experience Design award category in the year 2024 organized by the prestigious A' Design Award & Competition. The Iron A' Design Award is awarded to good designs that meet the rigorous professional and industrial standards set by the A' Design Awards. This recognition is reserved for works that demonstrate a solid understanding of design principles and show creativity within their execution. Recipients of the Iron A' Design Award are acknowledged for their practical innovations and contributions to their respective fields, providing solutions that improve quality of life and foster positive change. These designs are a testament to the skill and dedication of their creators, showcasing their ability to address real-world challenges through thoughtful design.

Image Credits

For design images and photos please credit Cansu Cetin.

Iron Recognition

Cansu Cetin was recognized with the coveted Iron A' Design Award in 2025, a testament to excellence of their work Race Data AI Telemetry For Simracers.

Cansu Cetin Press Releases

For journalists seeking engaging content: Explore our press releases featuring Cansu Cetin's work, freely available for incorporation into your stories. Journalists, gain instant access to 1 press releases today.

Race Data AI Revolutionizes Sim Racing with Intuitive Telemetry and Real-Time Performance Insights

Race Data AI, designed by Cansu Cetin and awarded the Iron A' Design Award in 2025, introduces a user-friendly telemetry analysis tool for sim racers, blending advanced data visualization with intuitive features to bridge the gap between virtual and real-world racing. Developed from May to December 2024 across Turkey and Canada, this innovative solution empowers racers to optimize performance with actionable insights and seamless usability.

Cansu Cetin Newsroom

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