I went with something like watch time, creator retention rate, and data freshness latency.
Start by clarifying the goal of YouTube Analytics: to help creators succeed. Then, propose a balanced set of metrics covering creator engagement, content performance, and business impact, explaining how each drives value. Finally, tie your choices back to YouTube's mission and Amazon's customer-obsession principle.
Pro tip: Show you understand the difference between vanity metrics and actionable metrics—prioritize metrics that creators can directly influence and that lead to better content and higher retention.
Briefly state that YouTube Analytics serves creators by providing insights to grow their channels and audience. The ultimate goal is to increase creator success and platform engagement.
Consider creators (want to grow views, engagement, revenue), viewers (want relevant content), and YouTube (wants watch time, ad revenue). Metrics should balance these needs.
Choose metrics that are actionable, aligned with goals, and cover different aspects: e.g., Watch Time (content performance), Subscriber Growth (audience building), and Revenue per Creator (monetization). Explain why each matters.
Describe how creators would use these metrics to improve content, and how YouTube could use them to enhance the product and support creators.
Conclude by reiterating that these metrics help creators succeed, which in turn drives YouTube's success, aligning with Amazon's customer-obsession.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.