I jumped straight into feature ideas and immediately regretted it.
Start by clarifying the goal and defining the metric (total watch time) and its components. Then, structure your answer by breaking down watch time into levers (e.g., users, sessions, session length) and prioritize opportunities based on impact and feasibility. Finally, propose a test-and-learn approach to validate hypotheses and iterate.
Pro tip: Anchor your answer in YouTube's business model: watch time drives ad revenue and subscription value. Show you understand the trade-offs between short-term growth hacks and long-term ecosystem health (e.g., creator incentives, user experience).
Ask clarifying questions to ensure alignment: Is the goal global or specific markets? What's the timeframe? Are there constraints (e.g., not sacrificing user trust)? Define total watch time as a function of DAU, sessions per user, and average session duration.
Decompose watch time into its drivers: number of users, frequency of use, and time spent per session. Identify which levers have the most potential for growth based on current data and trends.
Brainstorm ideas to impact each lever. For example: increase user acquisition (e.g., partnerships, marketing), boost engagement (e.g., personalized recommendations, notifications), or extend session length (e.g., autoplay, better content discovery).
Use a framework like RICE (Reach, Impact, Confidence, Effort) to prioritize initiatives. Consider potential risks and trade-offs (e.g., user satisfaction, creator ecosystem). Propose A/B tests to measure impact.
Define success metrics and guardrail metrics (e.g., user retention, satisfaction). Outline a rollout plan: start with small experiments, analyze results, and scale what works. Emphasize continuous learning.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.