I jumped straight into features and had to backtrack to define the user segments, which probably cost me a minute or two of credibility.
Start by clarifying the goal and scope of the platform, then segment users into learners and mentors to identify their distinct needs. Prioritize a specific use case (e.g., professional skills) and design a solution that solves the cold-start problem, builds trust, and creates a sustainable monetization model. Conclude by defining success metrics and potential risks.
Pro tip: Emphasize how you would leverage Meta's social graph and existing products (e.g., Facebook Groups, Instagram) to bootstrap supply and demand, and address trust and safety as a key differentiator.
Ask clarifying questions to understand the platform's objectives, target market, and constraints. Define what 'skills' and 'mentors' mean in this context.
Identify and profile the two-sided market: learners (demographics, motivations, pain points) and mentors (expertise, incentives, availability). Highlight their distinct needs.
Brainstorm features that address key needs, such as matching algorithms, scheduling, payments, and feedback. Prioritize using a framework like RICE or MoSCoW.
Propose a revenue model (e.g., commission, subscription, freemium) and mechanisms to build trust (e.g., reviews, verification, guarantees).
Define success metrics (e.g., match rate, session completion, retention) and anticipate challenges like cold start, quality control, and competition.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.