I went straight to the algorithm and content relevance angle because that felt safest, but looking back I spread myself too thin.
Pick one or two specific frustrations that are well-aligned with TikTok's core metrics (e.g., engagement, retention, monetization) and that you can quantify. For each, propose a concrete product change, then walk through the expected impact on users and business using a structured framework. Show that you can balance user experience with business goals and that you can measure success with clear metrics.
Pro tip: Anchor your answer in TikTok's North Star metric (e.g., daily active users or time spent) and explicitly discuss trade-offs, such as short-term revenue loss for long-term retention gains. This demonstrates product maturity and data-driven thinking.
Choose one or two genuine user pain points that are relevant to TikTok's product and that you can support with personal experience or data. Avoid generic complaints; focus on issues that affect key metrics.
Describe a specific, actionable product change that addresses the frustration. Be clear about what the change is, how it would work, and why it's feasible.
Explain how the change would affect user behavior, satisfaction, and engagement. Consider both intended and unintended consequences, and how you would measure the impact (e.g., A/B test metrics).
Discuss how the change would affect TikTok's business metrics, such as retention, monetization, and content ecosystem health. Quantify where possible and acknowledge trade-offs.
Summarize why this change is worth prioritizing over others, and outline how you would validate success with data (e.g., key metrics, experiment design).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.