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Case study · Track Day Genius

How Track Day Genius Turned Racetrack Data into Actionable Lap Insights

Track Day Genius customer story · Motorsport telemetry

Track Day GeniusNative iOSTelemetryTrack-day performance
How Track Day Genius Turned Racetrack Data into Actionable Lap Insights
AI-generated or illustrative concept based on the case requirements. Actual client system not shown.
Industry
Track Day Genius
Delivery
Dedicated team
Focus
Business outcomes

The situation

The product had to translate a fast, physical experience into feedback drivers could understand and use.

The product vision combined preloaded circuit profiles, video capture, and visual telemetry analysis for enthusiasts who wanted more than a stopwatch after a track session.

  • Users needed a clear way to review how speed, acceleration, G-force, slope, vehicle setup, and circuit position changed across laps and sectors.

Recognise this situation?

Combine field context, synchronized signals, and visual analysis in one mobile workflow.

Design for the circuit

Requirements had to reflect how enthusiasts prepare for, drive, record, and review a real session at a track.

Synchronize multiple signals

Video, GPS, speed, acceleration, G-force, slope, and vehicle profiles had to become one coherent session record.

Turn data into decisions

Predictions, graphs, maps, sector comparisons, and summaries needed to make performance differences easy to interpret.

The project approach

Track research informed a native iOS architecture for capture, telemetry analysis, review, and sharing.

Shinetech paired onshore product support with a distributed engineering team. Objective-C, C++, .NET Core, and GPS capabilities supported the mobile experience, while modular development kept capture, analysis, profiles, commerce, and sharing connected.

Visit circuits with the client and observe the environment, user expectations, and review journey directly.

How delivery was run

Keep product decisions close to drivers and delivery decisions visible to the full team.

  1. A London-based project lead also served as business analyst, working directly with the client while coordinating the distributed development team.
  2. Track visits grounded product decisions in real user expectations instead of assumptions made away from the circuit.
  3. Weekly demos, feedback, and Sprint planning helped every developer understand the overall product goal and take responsibility for quality.
  4. The product demonstration shows the relationship between recorded video, circuit position, vehicle data, and lap analysis.

Key information

Technology and delivery context

Industry
Track Day Genius
Services
Custom Development · Dedicated Teams
Technologies and practices
Native iOS · Telemetry · Video · GPS
Business impact
Operational clarity · Delivery continuity · Usable software

The result

The delivered iOS product turned each track session into visual telemetry and comparable performance records.

  1. A complete session record: Video, circuit position, telemetry, and vehicle information gave users one place to revisit a run.
  2. Analysis designed for action: Predictions, graphs, maps, and comparisons turned measurements into understandable feedback.
  3. A product beyond the core timer: In-app purchases, imported video, profiles, and sharing extended the experience around lap analysis.

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