I went straight to engagement metrics and kind of dug myself into a hole.
Start by clarifying that success for YouTube search should be defined in terms of user value and business goals, not just technical metrics. Then propose a hierarchy of metrics: user-centric (e.g., satisfaction, task success), product-centric (e.g., engagement, retention), and business-centric (e.g., watch time, revenue). Finally, emphasize the need to balance short-term and long-term objectives and to consider trade-offs.
Pro tip: Show that you understand the difference between search success in general and YouTube's unique context (video, recommendations, watch time). Mention that success metrics should be actionable and aligned with YouTube's mission to give everyone a voice and show them the world.
Ask clarifying questions to understand the scope: Is this for all of YouTube search, a specific feature, or a particular user segment? What are the current priorities (e.g., growth, engagement, satisfaction)?
Identify what success means for users: finding relevant videos quickly, discovering new content, and having a satisfying experience. Metrics could include query success rate, time to first click, and user satisfaction scores.
Connect user success to product and business outcomes: increased watch time, session duration, retention, and revenue. Consider metrics like click-through rate, watch time per search, and search-induced watch time.
Acknowledge trade-offs (e.g., relevance vs. diversity, short-term clicks vs. long-term satisfaction) and propose a balanced scorecard. Suggest leading and lagging indicators.
Emphasize that success definitions should be validated through experiments (A/B tests) and user research, and revisited as the product evolves.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.