Designing a Bike Rental App: Rental Model, Rider Journey and Success Metrics
Company: Glovo
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
Design an app that people use to rent bicycles. Decide who it serves, define the core rental experience, and explain how you would know it is working.
```hint Pick the rental model first
Who owns the bikes and how long people keep them shapes everything else, from pickup and return to pricing and trust.
```
### Clarifying Questions
- Does the company own and maintain the bikes, at stations or parked freely around the city, or should the app match renters with individuals and shops that already own bikes?
- Are we targeting short trips within a city, multi-day rentals for visitors, or both?
- Which city or market do we launch in, and is this a new standalone app or a feature inside an existing one?
- What matters most in the first year: ride volume, revenue per bike, or user growth?
### What a Strong Answer Covers
- A deliberate choice of rental model and target segment, with reasons the others wait
- The rental journey from finding a bike to returning it, with the pain points at each step
- Prioritized features aimed at the top pain points, including bike condition and return friction
- Success metrics covering both riders and fleet economics, with guardrails for safety, damage and parking
- Operational and trust risks such as theft, vandalism, rebalancing and surprise charges
### Follow-up Questions
- How would the design change if bikes came from individual owners rather than a company-owned fleet?
- If bikes pile up in some neighborhoods and run out in others, how could the product help rebalance them?
- How would you add electric bikes without making the experience worse for riders of regular bikes?
Overview: A product design prompt asking for an app that lets people rent bicycles. It tests choosing a rental model and target riders, mapping the journey from finding a bike to returning it, prioritizing features around availability, bike condition and returns, and defining rider and fleet metrics.