Product design question
How will you improve user engagement for Youtube TV?
- Product design
- Medium
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What this question tests
Product improvement thinking for a connected TV streaming service, balancing live and on demand content discovery on a large screen interface.
How to approach it
- Confirm the goal: increasing session length, live viewership, or reducing churn for YouTube TV specifically.
- Segment users: live sports and news viewers versus binge watchers of on demand content within the service.
- Identify the pain point: navigating between live channels and the on demand library on a TV remote is often clunky.
- Prioritize a unified, fast browsing experience given TV remotes make deep navigation frustrating.
- Propose a feature: a personalized home row blending live sports alerts with on demand recommendations based on viewing habits.
- Define success with daily session length and reduction in time to start watching content.
What a strong answer includes
- Targets a real, well known friction in connected TV interfaces, slow navigation with a remote, rather than a generic redesign.
- Distinguishes live viewers from on demand viewers, since their engagement patterns and needs genuinely differ.
- Proposes a concrete feature, a blended personalized home row, appropriate for the big screen, remote control context.
- Sets a specific metric, time to start watching, tied to reducing the actual navigation friction.
Common mistakes
- Proposes mobile app style features that do not translate well to a TV remote interface.
- Ignores the distinct needs of live sports viewers, a major reason people subscribe to YouTube TV specifically.
Likely follow-up questions
- How would you personalize the home row without making it feel repetitive across sessions?
- How would you measure the impact on live sports viewership specifically?
- How would this differ for a household with multiple viewer profiles?
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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 7: AI UX and human oversight: design for a system that is wrong sometimes
- Chapter 14: Get the job: the AI PM interview loop