Design restaurant software for reservations, waitlists and seating
Company: BentoBox
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
As the product manager, design a table management system.
Assume the term has its usual hospitality meaning: the software a restaurant's host stand uses during service to keep track of its tables, its reservations and its walk-in guests.
```hint Start at the host stand
Picture the busiest hour of a Friday night. What does the host need to know in the few seconds before seating a party, and where does that information come from today?
```
### Clarifying Questions
- Should it serve restaurants that mostly take reservations, mostly walk-ins, or a mix of both on the same night?
- Is it a standalone product, or must it work with the point-of-sale system and the online booking channels a restaurant already uses?
- Which restaurants should it target first: independent full-service places, multi-location chains or high-end venues that take deposits?
### What a Strong Answer Covers
- A chosen restaurant segment and the roles involved (host, manager, servers, diners), with a reason for the choice
- Concrete pain points during a busy service, such as double bookings, inaccurate wait quotes, no-shows and poor table fit, each tied to a feature
- A prioritized first release versus later releases, including what is deliberately left out
- Practical constraints: speed during a rush, operation when the connection drops, and staying in sync with other systems
- A primary success metric tied to seating capacity, with guardrails for guest experience and staff effort
### Follow-up Questions
- How would you predict the wait you quote to walk-in guests, and how accurate does it need to be?
- Hosts at a pilot restaurant keep going back to a paper list during the busiest hour. How would you find out why and fix it?
- How would you accept bookings from third-party reservation apps without double-booking a table?
Overview: A product design prompt asking a PM candidate to design a table management system for restaurants, covering reservations, walk-in waitlists and seating. It tests segment choice, understanding of host-stand pain points during a rush, prioritization of a first release, practical constraints such as offline use and integrations, and success metrics.