Metrics question
If the Instagram stories engagement rate goes up 10% during the first 7 days, and then decreases 10% in the next 30 days in the US and Spain, what would you do? In the US, the decline has reached a plateau, but in Spain it continues to fall further.
- Meta
- Metrics
- Hard
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What this question tests
Tests metrics diagnosis under a mixed signal: a short-term spike followed by decline that behaves differently by country, requiring root-cause thinking before acting.
How to approach it
- Restate the pattern: a 10 percent engagement rise in week one, then a 10 percent decline over 30 days, plateauing in the US but still falling in Spain.
- Hypothesize the initial rise is a novelty or algorithm-boost effect, not sustained interest, common after a feature change or push notification campaign.
- Segment the decline by cohort: new versus existing users, and by content type, to see if it is fatigue among early adopters or a broader drop.
- Compare US and Spain specifically: check for a market-specific event, such as a competing app, a local outage, or a regional content or creator gap.
- Check guardrails: notification frequency, algorithm changes, or a bug that shipped only in Spain's build or region.
- Propose a fix path: if it is novelty fatigue, test content or creator prompts to sustain habit; if Spain-specific, investigate local content supply and competitor activity before a broader change.
What a strong answer includes
- Treats the US plateau and Spain's continued fall as two different problems requiring two different investigations, not one blanket explanation.
- Proposes concrete segmentation (new vs returning users, content type, region-specific rollout differences) instead of guessing at a single cause.
- Considers a market-specific explanation for Spain, such as a competitor or local content gap, since the divergence from the US points to something local.
- Ties the response to action: a re-engagement test for the novelty-fatigue hypothesis in the US, and a market investigation for Spain.
Common mistakes
- Applying one global fix without explaining why the US and Spain trends diverge.
- Jumping to a solution before checking for a bug or rollout difference specific to Spain.
Likely follow-up questions
- What data would you pull first to confirm the novelty-fatigue hypothesis?
- If Spain's decline turns out to be a competitor gaining share, how would that change your plan?
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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