LinkedIn · AI product · Mid · 45 to 60 minutes
How should LinkedIn handle AI feed posts?
LinkedIn is a professional networking platform where people share career updates, knowledge, and job-related content. Answer this product management case and get it graded line by line against a weighted rubric.
- Product strategy
- Trade-off analysis
- User segmentation
- Experiment design
- Trust and safety judgment
The situation
Your director for the LinkedIn feed has asked you for a product strategy on AI generated content in feed posts. More members are starting to use external AI tools to draft professional updates, advice posts, and job seeking content. Leadership sees real upside, because AI can help people write more clearly and participate more often. But there is a growing concern that generic, low effort, or misleading AI posts could weaken the seriousness and credibility that make LinkedIn useful. LinkedIn does not want to ban AI assisted writing outright. Many professionals already use AI at work, and the platform does not want to punish helpful assistance or make posting harder for everyone. At the same time, doing nothing could slowly reduce trust in the feed and make high quality members less willing to engage. You are asked to propose a long term strategy for feed posts across all users, focused mainly on creation and consumption. Your recommendation can include changes to posting, ranking, transparency, reporting, and guidance, but it should protect professional quality without removing user freedom.
What to produce
Write a 1 to 2 page product strategy memo.
Your answer must
- Define the problem clearly and state a primary success goal plus 2 to 3 measurable success metrics.
- Identify the most relevant user groups or behaviors in scope and explain whose behavior you want to change.
- Present 3 to 5 strategic options or solution pillars, with trade-offs for trust, user freedom, and product complexity.
- Recommend a prioritized plan and explain why it is the best fit for LinkedIn's professional brand.
- Describe a phased rollout or experiment plan, including a small test group and what you would learn before scaling.
Constraints
- Scope is feed posts only, not comments or direct messages.
- You cannot solve this with a blanket ban on AI generated content.
- Do not assume perfect AI detection or unlimited manual review.
- Your strategy should work without relying on major competitor moves or urgent regulation changes.
Format
Use sections: problem, users, options, recommendation, rollout, risks.
How LinkedIn actually played it
Works through how LinkedIn could keep the platform serious without banning AI-written content. The answer balances user freedom against trust and quality.
- Trade-offs between openness and quality are product decisions
- Policy options should be tested with a small user group first
- Define what the platform is protecting before choosing rules
Built from Product Strategy Problem: AI generated content on LinkedIn by Sreerag Panat.
Related case studies
- Help new graduates land a first job on LinkedInLinkedIn · Product sense · Entry
- Increase LinkedIn engagement in the USLinkedIn · Product sense · Entry
- Launch a trusted AI assistant for jobs and postsLinkedIn · Execution · Senior
- How should LinkedIn signal job seeking?LinkedIn · Product sense · Entry
- How should LinkedIn create a daily habit?LinkedIn · Strategy · Entry
- How should LinkedIn measure new AI features?LinkedIn · AI product · Mid