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Personas

Personas represent the typical user profiles of Guido. Each persona has specific objectives, frustrations and expectations that guide feature development.

👨‍💼 Thomas - Passionate Amateur Driver​

Segment: Trackday / Non-licensed driver

Profile​

  • Age: 28 years old
  • Profession: Software Engineer
  • Budget: Medium (€20-50/month)
  • Equipment: Onboard camera, basic mobile app, sometimes OBD

🎯 Objectives​

  • Improve driving skills on track
  • Objectively understand where time is lost
  • Identify improvement areas without expensive equipment

😤 Frustrations​

  • Contradictory advice from other drivers or online videos
  • Lack of technical skills for data analysis
  • High cost of solutions (Garmin Catalyst, Aim Solo)

✅ Expectations​

  • Easy-to-use solution
  • Clear coach providing precise advice
  • Actionable data (braking, corner exit, etc.)
  • Recommendations adapted to his car and circuit

🏁 Lucie - Licensed Performance Driver​

Segment: FFSA driver, regular driving, optimization

Profile​

  • Age: 34 years old
  • Profession: Freelance Consultant
  • Budget: High (already pays for coaching and track time)
  • Equipment: GPS recorder, occasional coach

🎯 Objectives​

  • Optimize competition performance
  • Compare laps to ideal lap or other drivers
  • Precisely analyze data (brake pressure, steering angle, tire temperature)

😤 Frustrations​

  • Expensive tools not always compatible
  • Complex dashboards not well adapted
  • Lack of time for data analysis

✅ Expectations​

  • "Race engineer" style analysis
  • Integration of car + weather data
  • Ideal trajectory model
  • Precise and concrete insights (braking, acceleration, trajectory)

🎮 Max - Competitive SimRacer​

Segment: Simracing / Esport

Profile​

  • Age: 21 years old
  • Profession: Mechanical Engineering Student
  • Budget: Low, but willing to pay subscription
  • Equipment: Complete setup (wheel, load cell pedals, triple screen, basic telemetry)

🎯 Objectives​

  • Improve quickly on all games (iRacing, Assetto Corsa, rFactor)
  • Optimize driving technique
  • Compete in online competitions and improve ranking

😤 Frustrations​

  • Hard to find where time is lost
  • Scattered tools requiring multiple software
  • PC performance loss with too many simultaneous tools

✅ Expectations​

  • Integrated solution for all simracing games
  • AI coach analyzing each session
  • Contextualized advice per corner (e.g., turn 7, improve braking)

🔧 Pierre - Automotive Engineer​

Segment: Mechanics enthusiast / Advanced data analysis

Profile​

  • Age: 40 years old
  • Profession: Automotive Engineer
  • Budget: High (invests in cutting-edge solutions)
  • Equipment: Advanced telemetry, analysis software, simulator

🎯 Objectives​

  • Optimize car setup for trackdays
  • Deeply understand driving dynamics
  • Complete car + driver performance feedback

😤 Frustrations​

  • Tools limited to basic analysis
  • Difficult to synthesize data
  • Lack of contextualization by track conditions

✅ Expectations​

  • Correlated driving + mechanics + conditions analysis
  • Data export and advanced visualization
  • AI coach with personalized setup + driving recommendations