Metrics question
What A/B tests do you suggest to make it easier to find friends on Facebook?
- Meta
- Metrics
- Medium
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What this question tests
Tests designing specific, testable experiments for a growth and discovery feature, not just listing generic test ideas.
How to approach it
- Clarify the goal: improve People You May Know and search-based discovery so users build their graph faster.
- Identify current friction: users may not notice PYMK, may distrust suggestions, or find search imprecise for common names.
- Propose test 1: surface PYMK during onboarding versus after, measuring friend requests sent per new user in week one.
- Propose test 2: add mutual-friend count and shared-group context to suggestion cards, measuring click-through and acceptance rate.
- Propose test 3: weight search ranking by mutual connections and location over exact name match, measuring search-to-add rate.
- Define the guardrail: monitor unwanted friend request reports to ensure higher volume isn't lowering suggestion quality.
What a strong answer includes
- Proposes three distinct tests tied to different friction points, visibility, trust, and search precision, rather than one vague test.
- Names concrete metrics per test, requests sent, acceptance rate, search-to-add rate, instead of just engagement.
- Adds a guardrail against spammy requests, a real risk when optimizing purely for volume.
- Ties each test back to a clear hypothesis about why it should move the metric.
Common mistakes
- Proposing only cosmetic UI tests without addressing visibility, trust, or search precision.
- No guardrail metric, risking a win that increases unwanted requests.
Likely follow-up questions
- How would you prioritize these tests if you could only run one?
- How would you measure long-term relationship quality, not just requests sent?
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- You launched a new signup flow to encourage new users to add more profile information. A/B test results indicate that the % of people that added more information increased by 8%. However, 7 day retention decreased by 2%. What do you do?Google · Metrics · Hard
- Define the metrics for YouTube search.Google · Metrics · Medium
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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