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S17 · company simulation

Add a third London frequency? Run it through the company

People, data and outputs in this scenario are simulated. Each stage is recorded when you commit; the reveal comes after.

  • 4stages
  • 45 minabout
  • 0stages committed

The brief

The synthetic airline flies IST-LHR twice a day (flights ZX114 and ZX115, 180 seats each). A simulated product manager proposes a third daily frequency from next summer. Every person, opinion and cost below is simulated or hypothetical; the flight data comes from the course database (flight_day, 2022-2024).

  • Product manager: wants a launch-date and a headline.
  • Revenue-management analyst: owns the demand data and the booking limit.
  • Data engineer: knows how bookings_final is produced.
  • Finance partner: approves a business case at a hypothetical 8,500 EUR variable cost per departure.
  • Executive sponsor: decides.

What the database shows for IST-LHR over 2022-2024 (2,192 flight-days): average load factor 81.6%; load factor of 0.95 or more on 29.3% of flight-days (maximum 0.96); bookings_final never above 190, which is 1.056 times the seats, and equal to 190 on 27.7% of flight-days (33.2% in 2024); average fare 220.83 EUR.

Stage 1 of 4

The product manager's slide says: "We are sold out on more than a quarter of London flights." The finance partner says: "Average load factor is 82%; where is the problem?" The revenue-management analyst adds that the booking system stops selling at 190 bookings per flight.

Which questions belong in your evidence plan? Select all that apply.

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