Metrics question
How would you measure the success of Lyft Shuttle?
- Swiggy
- Metrics
- Medium
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What this question tests
Tests defining success metrics for a fixed-route, shared transit-like product distinct from Lyft's on-demand core service.
How to approach it
- Clarify the model: Lyft Shuttle runs along fixed routes at set times for a lower fare, closer to a bus line than an on-demand ride.
- Set the north star as riders per shuttle run, since a shared fixed-route service only works economically with enough simultaneous riders per trip.
- Add supporting metrics: route utilization rate throughout the day, and cost per ride compared to standard Lyft rides on the same route.
- Add a guardrail on wait time and on-time performance, since reliability is essential for a scheduled service to retain repeat commuters.
- Segment by route and time of day, since a route only makes sense to keep running if it clears a minimum ridership threshold consistently.
What a strong answer includes
- Picks riders per run as the core viability metric, the right framing for a shared fixed-route service's unit economics.
- Names on-time performance as a guardrail, recognizing reliability is what retains commuters on a scheduled service.
- Ties route-level segmentation to a real operational decision, whether to keep or cut underperforming routes.
Common mistakes
- Measuring only total riders across the whole service without route-level or time-of-day breakdown.
- Ignoring on-time reliability, a critical factor for winning repeat commuter trust in a scheduled service.
Likely follow-up questions
- What ridership threshold would make you cut an underperforming route?
- How would you price this to stay cheaper than standard Lyft while remaining profitable?
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Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop