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Lyft has observed a sudden 5% increase in driver-initiated cancellations. The candidate, working alongside a data scientist, is tasked with investigating the root cause.
Clarifying the Scope:
The candidate confirms that:
• The focus is on driver-initiated cancellations.
• There have been no changes in how cancellations are logged or defined.
• The increase is recent and abrupt, primarily over the past few weeks.
Investigative Approach:
The candidate proposes exploring four key areas:
1. Market Dynamics
2. Technical Issues
3. Driver Behavior
4. External Competitive Pressures
⸻
1. Market Dynamics:
• Could it be seasonal or regional?
→ Interviewer confirms it’s more pronounced domestically but not tied to any specific region or seasonal pattern.
2. Technical Glitches:
• Any recent app updates or systemic changes on the rider/driver side?
→ No relevant updates or experiments (e.g., app icon color change) align with the spike.
3. Driver Behavior Patterns:
• Are cancellations occurring more during the early ride phase (post-acceptance, pre-pickup)?
→ Yes, cancellations are clustering early in the process.
→ However, there are no increases in pickup distance or time that would explain this.
4. External Competitive Pressures:
• Has there been increased activity from competitors like Uber?
→ Yes, Uber and others have ramped up marketing campaigns targeting drivers, possibly influencing loyalty and behavior.
⸻
Conclusion & Recommendations:
The candidate hypothesizes that competitive pressures are the most likely cause of the spike. To mitigate this, Lyft could:
• Enhance driver incentives to remain competitive.
• Reevaluate cancellation policies to maintain a balance between driver flexibility and platform reliability.
⸻
This structured approach pinpoints competitive activity as the main driver behind the increase in cancellations and offers actionable steps for Lyft to consider.
By Anoop SureshLyft has observed a sudden 5% increase in driver-initiated cancellations. The candidate, working alongside a data scientist, is tasked with investigating the root cause.
Clarifying the Scope:
The candidate confirms that:
• The focus is on driver-initiated cancellations.
• There have been no changes in how cancellations are logged or defined.
• The increase is recent and abrupt, primarily over the past few weeks.
Investigative Approach:
The candidate proposes exploring four key areas:
1. Market Dynamics
2. Technical Issues
3. Driver Behavior
4. External Competitive Pressures
⸻
1. Market Dynamics:
• Could it be seasonal or regional?
→ Interviewer confirms it’s more pronounced domestically but not tied to any specific region or seasonal pattern.
2. Technical Glitches:
• Any recent app updates or systemic changes on the rider/driver side?
→ No relevant updates or experiments (e.g., app icon color change) align with the spike.
3. Driver Behavior Patterns:
• Are cancellations occurring more during the early ride phase (post-acceptance, pre-pickup)?
→ Yes, cancellations are clustering early in the process.
→ However, there are no increases in pickup distance or time that would explain this.
4. External Competitive Pressures:
• Has there been increased activity from competitors like Uber?
→ Yes, Uber and others have ramped up marketing campaigns targeting drivers, possibly influencing loyalty and behavior.
⸻
Conclusion & Recommendations:
The candidate hypothesizes that competitive pressures are the most likely cause of the spike. To mitigate this, Lyft could:
• Enhance driver incentives to remain competitive.
• Reevaluate cancellation policies to maintain a balance between driver flexibility and platform reliability.
⸻
This structured approach pinpoints competitive activity as the main driver behind the increase in cancellations and offers actionable steps for Lyft to consider.