Strategy question
You are a PM on the Business Integrity Team at TikTok, and an advertiser is having trouble posting their ads on the platform. What would your product strategy be?
- TikTok
- Strategy
- Hard
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What this question tests
Strategic and trust-and-safety thinking: balancing advertiser needs against platform integrity policies in a specific team context.
How to approach it
- Clarify the scenario: an advertiser's ad was likely blocked by an automated integrity system, not a manual review.
- Diagnose likely causes: policy violation (misleading content, prohibited category) or a false positive from the detection model.
- Propose an immediate fix: a clear appeals flow so the advertiser understands why and can request review.
- Propose a systemic fix: improve detection model precision and give clearer real-time policy explanations at submission time.
- Define success as reduced false-positive rate and faster advertiser resolution time, without weakening actual policy enforcement.
What a strong answer includes
- Distinguishes false positives from genuine policy violations, since the fix differs for each.
- Proposes a concrete, testable improvement: clearer rejection reasons shown at submission, reducing repeat violations.
- Balances advertiser experience against platform integrity, not sacrificing safety for revenue.
- Uses an assumed metric, e.g. cutting advertiser appeal resolution time from 5 days to 24 hours.
Common mistakes
- Assuming the block is always a system error and pushing to simply let the ad through.
- Ignoring the integrity risk of weakening enforcement to please one advertiser.
- No concrete metric for balancing advertiser experience with platform safety.
Likely follow-up questions
- How would you distinguish a false positive from a genuine policy violation at scale?
- How would you measure the trade-off between advertiser satisfaction and platform integrity?
- What would you do if this advertiser is a large, high-value account?
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More questions from TikTok
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop