Rise in Ride Cancellations

Requirements Clarification & Assessment

1. Understand the Definition of Cancellation:

   • Clarify how Lyft defines a cancellation. Is it a ride canceled after booking, or does it include failed match attempts?
   • Determine if the cancellation rate is measured weekly, daily, or using another metric.

2. Identify Data Sources:

   • Confirm the datasets available for analysis, such as rider logs, driver logs, and system logs.
   • Understand any relevant metadata like timestamps, geographical data, and user demographics.

3. Assess Historical Trends:

   • Compare the current week's data with historical data to determine if this uptick is an anomaly or part of a trend.
   • Evaluate year-over-year (YoY) trends to understand seasonality effects.

4. Segment the Data:

   • Determine if the increase in cancellations is uniform across all geographies or specific to certain areas.
   • Assess whether the uptick is consistent across different user segments (e.g., new vs. returning users, device types).

5. Investigate External Factors:

   • Identify any external events (e.g., weather conditions, festivals, protests) that could influence rider behavior.
   • Check for any changes in competitor pricing or services.

6. Validate Data Integrity:

   • Ensure there are no data logging issues or bugs that could artificially inflate cancellation numbers.