My first instinct was to just list engagement metrics and call it a day, but the COVID angle makes that a trap you can walk into pretty easily.
Start by clarifying the goal: COVID-related search results should provide timely, accurate, and authoritative information to help users make informed decisions. Then define metrics across user engagement, content quality, and user trust, ensuring they align with Google's mission and user needs.
Pro tip: Emphasize that metrics should balance short-term engagement with long-term trust, and consider the unique context of a health crisis where misinformation can be harmful. Mention that you would validate metrics with user research and A/B testing.
Define what success means for COVID-related search results: providing accurate, timely, and actionable information to users. Consider different user intents (e.g., symptoms, vaccines, local restrictions).
Group metrics into categories: user engagement (e.g., click-through rate, time to answer), content quality (e.g., authoritative sources, freshness), and user trust (e.g., satisfaction, reduced misinformation).
For each category, propose concrete metrics: e.g., CTR on authoritative results, percentage of queries with immediate answers, user-reported satisfaction, and rate of flagged misinformation.
Prioritize metrics based on impact and feasibility, and set realistic targets. Consider leading and lagging indicators, and how metrics might evolve as the pandemic progresses.
Describe how you would track metrics over time, use A/B testing and user feedback to refine, and adapt to changing user needs and information landscape.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.