Metrics question
You are the PM of the "Share" feature on Facebook. How would you measure the success of this feature?
- Meta
- Metrics
- Medium
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What this question tests
Defining a meaningful success metric for a viral, distribution-focused feature.
How to approach it
- Clarify the goal of Share: helping content and links spread beyond the original audience, not just a raw click count.
- Define a primary metric: shares per active user, but pair it with downstream engagement from the shared content to avoid rewarding spammy sharing.
- Define a quality metric: click-through rate on shared content and engagement (likes, comments) generated by recipients.
- Set a guardrail: report or hide rate on shared content, since Share can be misused to spread misinformation or spam.
- Segment by content type (link, photo, post) since share behavior and quality differ across them.
- Tie the metric back to overall platform health, like whether shared content brings back lapsed users.
What a strong answer includes
- Rejects raw share count alone, explaining it can be gamed or reflect low-quality viral content.
- Proposes downstream engagement (recipient click-through, reactions) as the real quality signal for a share.
- Gives an illustrative metric, e.g. 25% of shares generating at least one recipient engagement, marked as an assumption.
- Flags misinformation and spam risk explicitly as a guardrail, not an afterthought.
Common mistakes
- Measuring only share volume without any downstream quality signal.
- Ignoring misuse risk (spam, misinformation) inherent to a sharing feature.
Likely follow-up questions
- How would you detect if Share is being used to spread spam?
- How would you weigh a share to a public feed versus a private message?
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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