bondar.design/rp2

RP2

b2b

web

UX

UI

racing

design leadership

dashboard

A race performance analysis system built for automotive training. It compares a trainee’s trajectory and behavior with a master "ethalon" route using sensors data. The system helps drivers improve technique through precise, data-driven feedback and trajectory visualization. In RP2, I acted primarily as a design lead.

Design tasks which I had and completed:

Conducted a brainstorming session for the core UX of the MVP together with a middle designer;

Provided detailed UX and UI reviews, with special focus on data visualization;

Maintained close communication with the client, aligning on performance goals and handling edge cases;

Performed design QA during the development stage;

Mentored the designer to improve design skills and enhance overall product quality.

RP2

b2b

web

UX

UI

racing

design leadership

dashboard

Ilya Bondar, app, mobile, app, hunger.de, hunger, hunger, foodtech, food, restaurants

Project note from Ilya

Leading the design for RP2 was both a strategic and rewarding experience. I optimized the design process from the ground up, aligning user needs with complex sensor data and visualization challenges. The collaboration ran smoothly, the client was fully satisfied with both the speed and quality of delivery, and the system successfully launched with solid performance in real-world racing training scenarios

big5, 2020, big5 2020, presentation, design, resq, safety, safety management, service, production

Informational scheme of app

The informational structure of the RP 2 system was developed through close collaboration with the client and grounded in direct user research with racers and trainers. We conducted interviews and feedback sessions to uncover real-world needs and cognitive habits of users interacting with performance data.

Based on this, we organized the app's content hierarchy to focus on clarity, speed of access, and relevance of insights—prioritizing trajectory comparisons, sector performance, and key error highlights. This ensured that both amateur and professional users could instantly grasp their strengths and weaknesses, without needing to decode complex data.

Ilya Bondar, POS, app, app, mobile, foodtech, design design, product design, UX, UI

Based on this, we organized the app's content hierarchy to focus on clarity, speed of access, and relevance of insights—prioritizing trajectory comparisons, sector performance, and key error highlights. This ensured that both amateur and professional users could instantly grasp their strengths and weaknesses, without needing to decode complex data.

Persona

Dashboard

Home page with time, weather current/last race and list of last sessions.

Sessions

You can compare driving trajectory, RPM, speed, braking intensity and steering angle. The system provides a detailed breakdown of each parameter, helping racers and coaches identify driving patterns, spot inefficiencies, and make data-driven adjustments for optimal performance.

Select the racer's session and the master reference session you'd like to compare. You can switch between map view and graph visualization, and analyze performance lap by lap to identify strong and weak segments. As a coach, you can also highlight specific areas on the track that require attention or improvement.

Informational scheme of app

Select the racer's session and the master reference session you'd like to compare. You can switch between map view and graph visualization, and analyze performance lap by lap to identify strong and weak segments. As a coach, you can also highlight specific areas on the track that require attention or improvement.

You can compare driving trajectory, RPM, speed, braking intensity and steering angle. The system provides a detailed breakdown of each parameter, helping racers and coaches identify driving patterns, spot inefficiencies, and make data-driven adjustments for optimal performance.

AI highlights

AI highlights places which need attention. And as coach you can create your own highlights

Working with part of graph

Detailed graph overview

Sessions

List of recorded racing sessions with filters

People management

List of Racers, Coaches and Administrators with possibility to change role

Device management

List of Devices connected to system

Key results

The system successfully streamlined racer performance analysis by integrating detailed sensor data into an intuitive comparison interface. Coaches and racers could now easily compare master and trainee sessions side by side—lap-by-lap, with trajectory overlays and car telemetry insights. The client was highly satisfied, noting increased training efficiency and clarity in communication between racer and coach.

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