I went straight to personalization and content freshness, which felt safe but maybe too safe.
Start by clarifying Google News's mission and the user segments it serves, then identify a specific problem area (e.g., trust, personalization, or local news) and propose a prioritized solution with clear success metrics. Structure your answer around user needs, business impact, and feasibility, and be ready to discuss trade-offs and how you'd measure success.
Pro tip: Anchor your improvements to Google's core strengths—scale, AI, and the open web—and explicitly address the publisher ecosystem, since Google News's success depends on a healthy content supply. Showing you understand the two-sided market (users and publishers) will set you apart.
Ask clarifying questions to understand what 'improve' means—e.g., increase engagement, trust, or publisher satisfaction—and which user segment to prioritize. This shows you avoid jumping to solutions.
Map the current user journey and highlight key problems such as misinformation, filter bubbles, or lack of local news. Use data or reasonable assumptions to prioritize one pain point.
Describe a specific feature or product change that addresses the pain point, explaining how it works and why it's better for users. Keep it feasible with Google's tech and resources.
Explain why this solution is the most impactful and how it aligns with Google's mission and business goals. Discuss trade-offs and potential risks.
Outline how you'd measure success (e.g., engagement, trust surveys, publisher retention) and what a rollout plan might look like.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.