Balance monetization with user experience

How would you balance monetization in TikTok's recommendation feed with user experience so the company can grow revenue without hurting retention, trust, creator health, or long-term ecosystem quality? ### Constraints & Assumptions - Treat monetization as a multi-objective optimization problem. - Do not optimize revenue by breaking user, creator, advertiser, or trust guardrails. - Include experiments, segmentation, stop-loss thresholds, and long-term metrics. - Consider alternatives to increasing feed ad load. ### Clarifying Questions to Ask - Which monetization lever is under consideration: ad load, targeting, pacing, format, commerce, subscriptions, or creator services? - Which user segment and market are in scope? - What revenue target and guardrail thresholds already exist? - Are creator reach and advertiser ROI included in the decision? ### Part 1 - Define Decision Criteria What metrics and guardrails would you use? #### What This Part Should Cover - Revenue per DAU, profit per session, advertiser ROI, retention, session depth, ad hide/report rate, satisfaction, creator reach, and trust signals. ### Part 2 - Evaluate Monetization Levers Which levers would you consider, and how would you prioritize them? #### What This Part Should Cover - Ad load, relevance, targeting, creative quality, native formats, frequency caps, pacing, commerce, subscriptions, and creator services. - Tradeoffs between short-term revenue and long-term ecosystem health. ### Part 3 - Test And Roll Out How would you make the decision with experiments? #### What This Part Should Cover - Segmented experiments, guardrails, stop-loss thresholds, phased rollout, and monitoring. - Different sensitivity by new users, heavy users, regions, and inventory quality. ### What a Strong Answer Covers - Prioritizes relevance and quality before simply increasing ad load. - Considers second-order effects on creators and advertisers. - Defines hard guardrails and rollback criteria. - Balances short-term revenue with long-term trust. ### Follow-up Questions - What if ad load increases revenue but lowers seven-day retention? - How would you value creator health? - What segment might tolerate more ads? - How would you measure ad fatigue? - What non-ad monetization would you test?