Metrics question

How would you measure the success of Meta's AI features?

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What this question tests

Whether the candidate can define success metrics for a broad, multi-surface AI feature set rather than treating AI as one monolithic thing.

How to approach it

  1. Clarify which AI features are in scope: Meta AI assistant, AI-generated stickers and images, or ad creative generation, since each has different goals.
  2. For an assistant-style feature, define usage metrics: queries per user, task completion rate, and repeat usage within a week.
  3. Add a quality guardrail: helpfulness or accuracy rating from user feedback (thumbs up/down) and hallucination or complaint rate.
  4. For creative AI tools, define adoption by creators or advertisers and downstream impact, such as ad click-through rate for AI-assisted creative.
  5. Separate leading indicators (query volume, feature discovery) from lagging indicators (retention lift, revenue impact) in the metric tree.

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