I went straight to features, which was probably the wrong move.
Start by clarifying the goal: LinkedIn for students should help them explore careers, build relevant skills, and connect with opportunities, not just replicate the professional network. Then segment students (e.g., by year, major, intent) and prioritize one segment to design a focused solution. Finally, outline a product concept with key features, success metrics, and potential risks.
Pro tip: Anchor your answer in a clear product vision and tie features to measurable outcomes; show you understand the difference between a student's needs (learning, exploration) and a professional's (networking, job hunting).
Define the primary objective (e.g., help students discover career paths and build relevant skills) and identify the target student segment (e.g., undergraduates exploring careers).
List key student challenges: lack of professional network, uncertainty about career paths, need for mentorship, and desire for practical experience.
Generate features that address these needs, such as career path simulations, mentor matching, project-based learning, and simplified networking.
Select the most impactful and feasible features for an MVP, considering effort, impact, and alignment with LinkedIn's strengths.
Specify metrics (e.g., weekly active students, mentor connections, skill completions) and potential risks (e.g., privacy, engagement, monetization).
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.