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Clarifying Questions:
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?
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?
Current Practices:
Are there existing cancellation policies? If so, what are their limitations?
How do competitors handle cancellation windows and fees?
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?
Driver Considerations:
How does cancellation impact drivers in terms of time, fuel, and opportunity cost?
Requirements Assessment:
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.
Impact on Stakeholders:
Evaluate the impact of cancellations on both drivers and customers.
Understand the financial implications for Lyft.
Dynamic Factors:
Consider city-specific factors like traffic, weather, and public events.
Factor in driver availability and demand fluctuations.