Improve TikTok ads and moderation

In a TikTok Product Manager interview, answer strategy questions about the content ecosystem. Compare a competitor's ecosystem versus TikTok, propose how TikTok could make recommended ads feel less overly commercial, improve content moderation efficiency, and evaluate whether AI is improving moderation outcomes.

Constraints & Assumptions

• Balance viewers, creators, advertisers, moderators, and platform trust.
• Treat ads and moderation as ecosystem health problems, not isolated features.
• Include metrics, experiments, guardrails, and operational constraints.
• Do not optimize revenue or automation alone.

Clarifying Questions to Ask

• Which market and content surface are in scope?
• Is the focus user experience, ads monetization, creator ecosystem, moderation cost, or regulatory trust?
• What ad formats and moderation workflows currently exist?
• Are AI models already deployed in shadow mode or production?

Part 1 - Compare Ecosystems

How would you compare another content ecosystem with TikTok's?

What This Part Should Cover

• Supply, demand, monetization, governance, creator incentives, discovery, social graph, and trust.
• TikTok strengths and weaknesses without making unsupported internal claims.

Part 2 - Make Ads Feel Less Commercial

How would you improve recommended ads so they feel less overly commercial?

What This Part Should Cover

• User pain points such as poor relevance, repetitive creatives, frequency, disruptive insertion, and weak controls.
• Solutions such as relevance, pacing, creative quality, native formats, user controls, and long-term satisfaction ranking.
• Metrics and guardrails.

Part 3 - Improve Moderation Efficiency

How would you improve content moderation efficiency?

What This Part Should Cover

• Moderation pipeline from upload to automated screening, risk scoring, human review, appeals, and policy learning.
• AI triage, active learning, reviewer tooling, queue prioritization, localization, and escalation.

Part 4 - Evaluate AI Moderation Impact

How would you know whether AI is actually improving moderation outcomes?

What This Part Should Cover

• Precision, recall, false positives, false negatives, appeal overturns, harmful content prevalence, review SLA, cost, backlog, creator trust, and user reports.
• Shadow mode, limited rollout, holdouts, and policy-specific evaluation.