This is one of those questions that sounds approachable until you realize how many user types LinkedIn actually has.
Start by clarifying the goal of LinkedIn's onboarding: to help new users quickly find value by building a professional profile and connecting with relevant people. Then, map the current onboarding steps, identify friction points, and prioritize improvements using a framework like RICE or HEART. Finally, propose specific changes with success metrics and potential trade-offs.
Pro tip: Anchor your answer in LinkedIn's North Star metric (e.g., weekly active users or connections made) and show how onboarding improvements directly impact it. Also, acknowledge the balance between collecting user data and minimizing friction.
Define what success looks like for onboarding: activation rate, time to first connection, profile completion, etc. Tie these to LinkedIn's broader business goals.
Walk through the existing onboarding steps (sign-up, profile creation, contact import, follow suggestions) and highlight where users drop off or get frustrated.
Use a prioritization framework (e.g., impact vs. effort) to select high-impact changes. Consider quick wins and long-term bets.
Suggest specific improvements such as progressive profiling, personalized recommendations, social proof, or simplified steps. Explain how each addresses a pain point.
Outline how you would measure the impact (A/B tests, funnel analysis) and what metrics would indicate success. Mention potential risks and mitigation.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.