Choosing Between Brazil and Argentina for a Google Maps Market Launch
Company: Google
Role: Product Manager
Category: Product Design & Strategy
Difficulty: medium
Interview Round: Other
You are planning a Google Maps launch and have to choose between Argentina and Brazil. How would you decide which market to go with?
```hint Fix the scorecard before the countries
Decide what a successful Maps launch means and which criteria would actually change the choice before you compare the two countries; otherwise the bigger market wins by default.
```
### Clarifying Questions
- Is this a decision about which country launches first, with the other to follow, or will only one of them get Maps?
- What does success mean for this launch: users and engagement, local business and advertising revenue, or a foothold for the rest of the region?
- Does Maps start without map data in both countries, or can it lean on existing Google products there, such as Search and Android?
- Over what time horizon will the launch be judged?
### What a Strong Answer Covers
- A definition of launch success and a time horizon that determine the criteria and their weights
- Criteria spanning demand, readiness of map and place data, competition, monetization and risk, compared for both countries with labeled estimates
- A clear recommendation, the conditions that would reverse it, and a plan for the other market
- Launch metrics and the main risks of the chosen market
### Follow-up Questions
- If the goal were to learn cheaply before a regional rollout rather than to reach the most users, would your answer change?
- Which single piece of data would you want before committing, and how would you get it quickly?
- In the market you picked, which Maps capabilities (driving, transit, walking, local places) would you launch first, and why?
Overview: A product strategy question about choosing between Argentina and Brazil for a Google Maps launch. It tests whether a PM can define launch success, build a market-selection scorecard from labeled estimates, weigh demand against data readiness and risk, and defend a recommendation.