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LAP

Results

Measured Outcomes from Real Teams

Anonymous case studies and testimonials from teams using LAP in competition.

Case Studies

Kart Racing Academy

18% faster onboarding

A kart club running junior development programmes used LAP to standardise post-session debriefs. Drivers received automated coaching cards within minutes of each session, replacing ad-hoc verbal feedback.

Methodology: Measured over 12 weeks across 146 driver sessions. Baseline period (6 weeks) compared to intervention period (6 weeks) using the same coaching staff, track layout, and kart specification.

Time from first upload to first actionable coaching report dropped from 45 minutes to under 8.

Junior Single-Seater Team

11% reduction in lap-time spread

A 5-driver junior team used session-vs-session and driver-vs-driver comparison modules to identify consistency gaps. Coaches focused debrief time on the two corners with highest avg_time_loss_ms.

Methodology: Measured over 8 race weekends. Spread calculated as coefficient of variation (CV%) across each driver's qualifying laps. Baseline CV% averaged 2.8%; post-intervention averaged 2.5%.

Top 5 drivers converged within 0.3s of each other by the final weekend, down from 0.7s initially.

Endurance Racing Operation

2 fewer unplanned pit stops per 6-hour race

A 4-car endurance team integrated the Race Strategy Dashboard for live stint monitoring. Tyre degradation detection flagged pace fade before drivers reported it, enabling proactive pit calls.

Methodology: Measured across 4 endurance races (6-hour format). Compared to the team's previous season data with manual timing and radio-based strategy calls.

Pit window accuracy improved from ±3 laps to ±1 lap, reducing time lost to late stops.

What Teams Say

Drivers returned more often once reports were shared after each session. The scoring system gave them a target to beat — not just a lap time, but a breakdown of where the time was.

Head Coach, Regional Kart Championship

Control room overlays improved stint decisions under pressure. Having degradation trends and pit windows on one screen meant fewer radio calls and faster reactions.

Race Engineer, GT Endurance Team

The Corner Coaching table is where the real value is. Instead of arguing about feel, we pointed to the data and focused on one corner per session. Progress was measurable.

Team Principal, Junior Formula Academy

Benchmark Methodology

All case studies follow these measurement standards:

  • Same track layout and hardware profile during baseline and intervention periods
  • Baseline and intervention cohorts compared over matching calendar periods
  • Sample sizes and statistical assumptions published with each claim
  • Lap-time spread measured as coefficient of variation (CV%) to normalise across tracks

Customer names are anonymised. Outcomes may vary based on team size, driver experience, and track conditions.

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