Metrics question
There has been a 15% drop in usage of Facebook groups. How would you fix it?
- Meta
- Metrics
- Medium
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What this question tests
Tests root-cause diagnosis and fix design for a specific, quantified engagement drop in a community feature.
How to approach it
- Confirm scope: is the 15% drop in group posting, group joining, or overall group-content views, and is it broad or concentrated in certain group types.
- Rule out a measurement or logging change first, since a sudden 15% drop can be an artifact of a tracking update.
- Segment by group type (interest-based, local, support) and by user tenure, since a drop concentrated in new members points to onboarding, while broad decline points to a ranking or notification change.
- Check recent product changes: a Feed ranking update that deprioritized group content, or a notification change reducing re-engagement nudges.
- Propose a fix based on the isolated cause, e.g. restoring group-content visibility in feed ranking or a targeted re-engagement campaign for lapsed group members, then measure recovery over the following weeks.
What a strong answer includes
- Follows a clear diagnostic sequence, rule out measurement issues, then segment, then check recent changes, before proposing any fix.
- Uses the specific number given (15%) to reason about severity and urgency rather than treating it as a vague decline.
- Considers both content-supply causes (fewer posts) and distribution causes (fewer surfaced to feed), which are easy to conflate.
- Proposes a fix tied directly to the diagnosed cause instead of a generic 'add more features to groups' answer.
Common mistakes
- Proposing fixes before actually diagnosing what caused the 15% drop.
- Treating all groups as one bucket instead of segmenting by type or user tenure to localize the problem.
Likely follow-up questions
- How would you distinguish a content-supply problem from a distribution/ranking problem here?
- What would you do differently if the drop were concentrated in newly created groups versus established ones?
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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