Metrics question
Spotify installs increased 25%. What are reasons this might have happened? Give at least four.
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What this question tests
Tests generating a broad, well-reasoned set of hypotheses for a positive metric spike, covering marketing, product, seasonal, and external explanations rather than a narrow guess.
How to approach it
- Clarify the metric and window: confirm 25% install growth is app store installs specifically, over what timeframe (week-over-week or month-over-month), and whether it's global or regional.
- Marketing-driven causes: a new ad campaign or increased ad spend, a viral social media moment or influencer mention, or a app store featuring/editorial placement boosting visibility.
- Product-driven causes: a major feature launch (e.g., a popular new playlist format or a widely-anticipated feature) driving word-of-mouth, or an App Store/Play Store listing update (new screenshots, better keywords) improving conversion from views to installs.
- Competitive/external causes: a competitor's outage or controversy pushing users to switch, or a broader cultural moment (a popular event, holiday, or news story) driving music app interest generally.
- Pricing/promotional causes: a limited-time free trial extension or discounted premium offer that lowers the barrier to installing and trying the app.
- Prioritize verification: check install source/attribution data first (organic vs paid vs referral) to quickly narrow down which category of cause is most likely before investigating further.
What a strong answer includes
- Covers four genuinely distinct categories (marketing, product, competitive/external, pricing) rather than four minor variations of the same idea, satisfying the 'at least four' requirement with real breadth.
- Names specific, plausible real-world triggers within each category (app store featuring, competitor outage, promotional pricing) instead of vague generic causes.
- Proposes checking install attribution data as the fastest way to narrow down the true cause, showing practical instinct beyond just brainstorming.
- Treats this as a positive spike to understand and potentially replicate, not just an anomaly to explain away.
Common mistakes
- Giving four causes that are all variations of the same theme (e.g., four different marketing ideas) instead of genuinely diverse explanations.
- Not proposing any way to actually verify which cause is correct.
- Assuming the spike is automatically good without considering it could be a low-quality/bot-driven spike worth investigating.
Likely follow-up questions
- How would you verify which of these four reasons is the actual driver?
- Would you treat this differently if it turned out to be bot or fraudulent installs?
- How would you try to replicate this growth going forward?
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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