I started with user satisfaction stuff like click-through rate and watch time after a search, then moved into query success rate and zero-result rates.
Start by clarifying the goal of YouTube search: to help users find relevant content quickly and drive engagement. Then define success metrics across user, creator, and business dimensions, and explain how you would prioritize and measure them using A/B tests and guardrail metrics.
Pro tip: Emphasize that search success isn't just about clicks—it's about satisfying user intent, which can be measured by metrics like 'search session success rate' or 'time to satisfaction'. Also mention the importance of balancing short-term engagement with long-term ecosystem health.
Ask clarifying questions to understand what 'success' means for YouTube search—e.g., is it about user satisfaction, engagement, or revenue? Define the user journey and key stakeholders.
Break down success into user-centric (e.g., relevance, satisfaction), creator-centric (e.g., fair distribution), and business-centric (e.g., watch time, ad revenue) dimensions.
Propose specific metrics: e.g., for user: click-through rate, search success rate, time to first click; for creator: impressions, CTR, watch time; for business: ad revenue, subscription conversions.
Explain how to prioritize metrics based on company goals, and mention guardrail metrics to prevent negative side effects (e.g., diversity of results, latency).
Describe how to measure success via A/B tests, longitudinal studies, and user feedback, and how to iterate on the search algorithm based on results.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.