Metrics question
Set goals for Facebook Pages.
- Meta
- Metrics
- Medium
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
OKR-style goal setting for a specific, two-sided product surface with distinct admin and follower needs.
How to approach it
- Clarify the surface's purpose: let businesses and creators build and manage an audience.
- Identify the two sides: admins who need reach and tools, and followers who need relevant, non-spammy content.
- Propose an admin-side goal: increase active admin retention and posting frequency, since an inactive presence provides no value to followers.
- Propose a follower-side goal: increase meaningful engagement rate, reactions, comments, shares per reach, not just raw impressions.
- Add a business-value goal: grow ad revenue tied to this surface as the monetization outcome linked to healthy engagement.
- Add a guardrail: limit content-quality complaints and spam reports so growth doesn't come from low-quality proliferation.
What a strong answer includes
- Separates admin-side and follower-side goals explicitly, recognizing this is a two-sided feature, a distinction many candidates miss.
- Chooses meaningful engagement rate over raw reach or impressions as the follower-side metric, showing quality-over-vanity thinking.
- Ties the goal set back to ad revenue, the real monetization link.
Common mistakes
- Setting only a single growth metric, like number of pages created, that ignores whether they stay active or engaging.
- Ignoring the follower and content-quality side entirely.
Likely follow-up questions
- How would you weigh admin activity versus follower engagement if they trade off?
- What would indicate a page is spammy versus healthy?
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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 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 2: Data fluency: SQL, logs, and reading the truth yourself
- Chapter 14: Get the job: the AI PM interview loop