Deciding whether Agoda should comp stays to seed reviews for newly listed hotels
Company: Agoda
Role: Product Manager
Category: Product / Decision Making
Difficulty: medium
Interview Round: Other
Agoda is considering making a stay free for travelers who write a review of a hotel that is new to the platform. Should it go ahead?
```hint Find the problem behind the offer
Start with why a newly listed hotel struggles without reviews and what that costs the hotel and Agoda. Then weigh what the next traveler would make of a review written by someone who stayed for free.
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### Clarifying Questions
- Does "new hotel" mean a property newly listed on Agoda with no reviews yet, or a property that has just opened?
- Who would pay for the free stay: Agoda, the hotel, or both sharing the cost?
- Is the stay free at booking with a review expected afterward, or refunded only once the review is posted?
- What is the goal: faster bookings for new listings, more hotels joining Agoda, or more reviews overall?
### What a Strong Answer Covers
- The underlying problem (new listings with no reviews convert poorly) and the goal the offer should serve, stated before deciding
- How a rewarded review affects traveler trust, including disclosure duties and the credibility of Agoda's reviews across the whole site
- Economics: who funds the stay, the cost per review, and how many incremental bookings it must drive to pay back
- Abuse and selection risks, and alternative ways to reach the same goal
- A clear recommendation, plus a pilot with a primary metric, guardrails and a stop rule
### Follow-up Questions
- Hotels offer to fund the free stays themselves. Does that change your recommendation?
- How would you tell whether reviews from comped guests are inflated compared with reviews from paying guests?
- In a pilot, which result would make you shut the program down even if bookings went up?
Overview: A product decision question for Agoda: should travelers get a free stay at a newly listed hotel in exchange for writing a review of it? It tests framing the cold-start problem for new listings, weighing review trust against incentive costs, and turning the call into a recommendation with a measurable pilot.