Strategy question
What should YouTube’s strategy be for news content?
- YouTube
- Strategy
- Hard
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
Start a mock interview on this question · Mock interview from a job description
What this question tests
Tests platform strategy on a high-risk content category: can you balance growth, monetization, and trust and safety for news specifically, which carries unique reputational and regulatory risk.
How to approach it
- Clarify why news is different: it is high-value for civic engagement and watch time but carries real misinformation and brand-safety risk that most other content categories do not.
- Define the strategic goal: become a trusted destination for news video without amplifying misinformation, since YouTube already competes with cable news and social platforms for this attention.
- Propose a credibility-signal mechanism: prioritize distribution for verified, established news publishers in recommendations and search, using clear labeling to distinguish verified outlets from independent commentary.
- Address monetization carefully: maintain advertiser-safe ad placements around news content, since many advertisers avoid news adjacency, requiring a curated ad-safe news content pool separate from general monetization rules.
- Support creator/publisher relationships: revenue-sharing or partnership programs specifically for news organizations, since traditional news outlets have different economics than typical YouTube creators.
- Define success as trusted-news watch time growth and, critically, a misinformation-report rate guardrail staying flat or improving, not just raw news-category watch time.
What a strong answer includes
- Explicitly names misinformation and brand-safety as the defining risk for this content category, rather than treating news like any other content vertical.
- Proposes a credibility-labeling and distribution-weighting mechanism, a real approach platforms use (and YouTube has used) to differentiate established outlets from unverified content.
- Addresses advertiser brand-safety concerns directly, a real, well-known constraint specific to news content monetization.
- Adds a misinformation guardrail metric explicitly, rather than only optimizing for watch-time growth in this sensitive category.
Common mistakes
- Treating news like any other content category with a generic growth strategy, ignoring its unique misinformation and brand-safety risks.
- No mention of advertiser brand-safety concerns, a major real constraint on news content monetization.
- No guardrail metric for misinformation or trust, missing the core risk this category presents.
Likely follow-up questions
- How would you decide which outlets qualify as 'verified' news publishers?
- How would you handle breaking news events where verified information is still emerging?
- How would you balance independent journalist channels against established news organizations in distribution?
More strategy questions
- This is an interview question, with a few sub-questions I was able to get after asking them: How would you determine the roadmap for a product? (Assume any product and any feature). What are the key criteria's/aspects you will consider to create this road map? How much weight will your roadmap have for user-driven features?Amazon · Strategy · Medium
- How would you launch YouTube in a country that currently has no comparable or similar products?YouTube · Strategy · Medium
- What should YouTube do with GenAI?YouTube · Strategy · Hard
- Should YouTube Shorts be separated from the YouTube app? If yes, why? If no, why?Google · Strategy · Hard
- How would you get another billion monthly active users on YouTube?Google · Strategy · Hard
- How would you triple the revenue of YouTube?YouTube · Strategy · Hard
More questions from YouTube
Learn the skill behind it
Chapters of the AI PM course that teach what this question tests.
- Chapter 4: Discovery and strategy for AI products
- Chapter 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop