I started by questioning whether reactions even made sense for LinkedIn's context, which I think was the right instinct but I spent too long on it.
Start by clarifying the goal of reactions on LinkedIn—likely to increase engagement and expression—then segment users and use cases. Propose a solution that balances user needs with LinkedIn's professional context, and define success metrics that tie back to engagement and platform health.
Pro tip: Anchor your answer in LinkedIn's unique professional ecosystem: reactions should enhance professional expression, not mimic casual social networks. Show you understand the trade-offs between engagement and professionalism.
Ask questions to understand the objective: Is it to increase engagement, improve content discovery, or enable nuanced feedback? Confirm the target users and success criteria.
Identify key user segments (e.g., job seekers, recruiters, content creators) and their motivations for reacting. Consider use cases like showing support, agreement, or celebration in a professional context.
Propose a set of reactions that are professional and meaningful (e.g., Like, Celebrate, Support, Insightful, Curious). Explain how they differ from other platforms and how they integrate into the LinkedIn experience.
Outline a phased rollout: start with a small set of reactions, test with a pilot group, and iterate based on feedback. Discuss how to measure success and potential risks.
Specify metrics such as reaction rate, engagement lift, retention, and qualitative feedback. Ensure they align with LinkedIn's goals and monitor for unintended consequences.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.