Metrics question
Facebook Stories usage is down by 30%. What would you do?
- Meta
- Metrics
- Medium
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What this question tests
Tests rapid, structured root-cause diagnosis of a large metric drop under time pressure.
How to approach it
- Verify the drop is real: rule out a tracking or logging bug before investigating any product cause.
- Check for a technical cause: a recent app release, an API change, or an outage affecting Stories specifically around when the drop started.
- Check for a competitive or behavioral cause: increased usage of Instagram or TikTok Stories-equivalent features cannibalizing Facebook Stories specifically.
- Segment the drop by platform, region, and age group, since Stories usage skews differently across these groups and a global change should show up everywhere.
- Cross-reference the timing precisely against any recent releases, policy changes, or known competitor launches before proposing a fix.
What a strong answer includes
- Rules out an instrumentation bug first, the fastest and most common explanation for a sudden large drop.
- Considers cross-platform cannibalization, Facebook Stories losing usage to Instagram's own Stories, a real and plausible internal competition.
- Uses segmentation to distinguish a global cause from one localized to a specific platform, region or age group.
Common mistakes
- Jumping to a product fix before confirming the drop is a real behavioral change and not a bug.
- Ignoring that usage may simply be shifting to Instagram Stories within Meta's own family of apps.
Likely follow-up questions
- How would you tell if this is Facebook Stories losing to Instagram Stories internally?
- What immediate step would you take while the root cause is still being investigated?
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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