Strategy question
Should LinkedIn add a Video Feed feature?
Practice this question out loud. An AI interviewer asks it, follows up like a real interviewer would, and scores your answer. Type or speak.
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What this question tests
Whether you can make a strategic recommendation grounded in market context and the company's specific advantage, not just a yes or no.
How to approach it
- Clarify what Video Feed means, a TikTok-style short video feed versus simply more video inside the existing feed.
- Assess the market: video consumption is rising broadly, but LinkedIn's context is professional, not entertainment.
- Evaluate competitors: TikTok, Reels, and Shorts already own short video, while LinkedIn's edge is professional identity and intent.
- Weigh LinkedIn's advantage: video tied to professional credibility, talks, demos, thought leadership, fits better than pure entertainment.
- Recommend a scoped version, a short professional-video feed inside the existing feed, rather than a standalone entertainment tab.
- Flag risks: cannibalizing text posts, added moderation load, and diluting LinkedIn's professional positioning.
What a strong answer includes
- Gives a clear recommendation, yes but scoped to professional content, instead of staying noncommittal.
- Anchors the reasoning in LinkedIn's actual advantage, the professional graph and intent, rather than copying TikTok outright.
- Names a concrete metric to gate the bet, such as time spent or content creation rate in a pilot cohort.
- Flags a real risk, brand dilution, and a mitigation, keeping the content professionally themed.
Common mistakes
- Answering with a generic video is popular without connecting it to LinkedIn's specific positioning.
- Ignoring the risk of cannibalizing or diluting the existing text-based feed.
Likely follow-up questions
- How would you measure whether this feature cannibalizes existing engagement?
- What result would make you kill this feature after launch?
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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 9: Prove it paid off: outcomes, economics, and pricing
- Chapter 14: Get the job: the AI PM interview loop