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Data Interview Question

Cancellation Window

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Clarifying Questions:

  1. End Goals:
    • What are Lyft's specific objectives for implementing a cancellation time limit? Is it to reduce operational costs, improve customer satisfaction, or balance both?
  2. Data Availability:
    • What historical data is available regarding ride cancellations, driver locations, and customer feedback?
    • Is there data on peak hours, traffic patterns, or driver availability across different cities?
  3. Current Practices:
    • Are there existing cancellation policies? If so, what are their limitations?
    • How do competitors handle cancellation windows and fees?
  4. Customer Perspective:
    • What are the primary reasons customers cancel rides? Are these reasons well-documented?
    • How does Lyft aim to balance customer convenience with operational efficiency?
  5. Driver Considerations:
    • How does cancellation impact drivers in terms of time, fuel, and opportunity cost?

Requirements Assessment:

  1. Cancellation Patterns:
    • Analyze the distribution of cancellations across different times of the day and locations.
    • Assess if cancellations follow a specific pattern or are random.
  2. Impact on Stakeholders:
    • Evaluate the impact of cancellations on both drivers and customers.
    • Understand the financial implications for Lyft.
  3. Dynamic Factors:
    • Consider city-specific factors like traffic, weather, and public events.
    • Factor in driver availability and demand fluctuations.