Success Metrics and North Star for the Google Maps Biking Experience
Company: Meta
Role: Product Manager
Category: Analytics & Experimentation
Difficulty: medium
Interview Round: Other
You are a product manager working on Google Maps. Set goals for the experience Maps offers people who get around by bike: define what success should look like for these riders and for the product, and choose the metrics you would use to track progress toward it.
```hint Start from a good ride
Picture a successful bike trip from the rider's side, from choosing a route to arriving, and only then turn each part of it into something Maps can measure.
```
### Clarifying Questions
- Does "bikers" mean bicycle riders, motorcycle and scooter riders, or both? Their needs and main markets differ.
- Are these goals for a biking experience Maps already offers, or for launching a new one?
- Should the goals be a long-term north star for the product or targets for the next planning cycle?
- Which markets matter most: cities with heavy bicycle commuting, or countries where motorbikes and scooters carry much of the traffic?
### What a Strong Answer Covers
- A goal that follows from what Maps is for and what riders need, with a chosen focus segment.
- A north-star metric that reflects value delivered to riders rather than raw usage, and why it beats the alternatives.
- Supporting metrics across the ride journey: adoption, retention, route quality and satisfaction.
- Guardrails for rider safety, distraction and other travel modes, plus how riders are identified in the data.
- How targets are set from baselines and how conflicts between metrics are handled.
### Follow-up Questions
- Completed bike trips are growing, but riders rate the routes lower. What could explain this, and what would you do?
- Maps never sees crashes directly. How would you tell whether its bike routes are becoming safer?
- How would your goals change for motorcycle and scooter riders in markets where two-wheelers dominate traffic?
Overview: A product metrics question about setting goals for people who ride bikes and use Google Maps to navigate. It tests defining what success means for riders, choosing a north-star metric with supporting and guardrail metrics across the ride journey, and setting targets that balance speed, safety and usage.