Strategy question
You’re a PM for Horizon Worlds (Meta’s VR app). Why should they continue investing in this product?
- Meta
- Strategy
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Ability to build a defensible strategic case for a struggling, high investment product, weighing sunk cost against real long term optionality.
How to approach it
- Acknowledge the real state: Horizon Worlds has had well documented low engagement relative to investment.
- Separate the long term thesis, VR and AR as a future computing platform, from the current product's execution problems.
- Identify what Horizon uniquely provides Meta: a testbed for social VR mechanics and hardware software integration with Quest.
- Propose conditions for continued investment: a narrower focus on proven use cases instead of broad ambition.
- Define success metrics: monthly active creators and retention of returning users, not just headline user counts.
- Note what you would confirm: whether the question is about halting versus continuing at current scale.
What a strong answer includes
- Does not oversell Horizon's current traction, showing honesty about a well known underperforming product.
- Separates platform level rationale from this specific app's execution, the more defensible argument.
- Proposes a narrower, retention focused bet rather than blanket continued investment at the same scale.
Common mistakes
- Pretending Horizon Worlds is already succeeding, not credible given public usage data.
- Arguing only because VR is the future with no near term proof points tied to the investment.
Likely follow-up questions
- What metric would make you recommend Meta cut investment instead?
- How does Horizon Worlds specifically benefit from Meta's AI investments?
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More questions from Meta
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop