Metrics question
You’re the PM for instagram feed and you see MAU went down 20%. Why did this go down?
- Meta
- Metrics
- Medium
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What this question tests
Tests rapid, structured root-cause diagnosis of a large drop in a core usage metric under time pressure.
How to approach it
- Verify the drop is real: check for a tracking, logging or reporting bug before investigating any product cause.
- Check for a technical cause: a recent app release, an outage, or an API or login issue preventing users from accessing the feed.
- Check for a competitive or behavioral shift: increased usage of Reels, TikTok, or another surface pulling users away from the main feed specifically.
- Segment the drop by platform, region and age group, since a global technical issue would show broadly while a behavioral shift often concentrates in specific segments.
- Cross-reference the exact drop timing against any recent releases, policy changes or known external events before proposing next steps.
What a strong answer includes
- Rules out an instrumentation bug first, the fastest and most common explanation for a sudden large drop.
- Considers internal cannibalization, users shifting from Feed to Reels within Instagram itself, a real and specific hypothesis.
- Uses segmentation to distinguish a global technical cause from a localized behavioral shift.
Common mistakes
- Jumping to a product fix before confirming this isn't a tracking or login bug.
- Ignoring the possibility that users shifted to another surface within the same app, like Reels.
Likely follow-up questions
- How would you tell if this is a login or access issue versus users actually leaving?
- What immediate step would you take while root cause investigation is still ongoing?
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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