I jumped straight into features and had to backtrack when they asked me who exactly I was designing for.
Start by clarifying the target user and the specific pain points of finding a doctor after moving, then define success metrics and prioritize features using a framework like RICE. Structure your answer around user needs, product vision, MVP, and iteration, while showing awareness of Meta's ecosystem and potential trade-offs.
Pro tip: Anchor your solution in Meta's strengths—social graph, groups, and local content—to create a differentiated product, and explicitly discuss how you'd handle cold-start and trust issues, which are critical for a new-city doctor finder.
Ask clarifying questions to define the target user (e.g., young professionals, families, chronic condition patients) and their key pain points: lack of local knowledge, insurance compatibility, trust, and urgency.
Establish product goals such as reducing time to find a suitable doctor, increasing user confidence, and driving retention. Propose metrics like time-to-first-appointment, user satisfaction, and repeat usage.
Generate a broad set of features (e.g., insurance filter, reviews, social recommendations, appointment booking) and prioritize using a framework like RICE or MoSCoW, focusing on MVP.
Outline the core user journey: onboarding (location, insurance, preferences), search and discovery, doctor profiles, and booking. Leverage Meta's social graph for trusted recommendations.
Identify potential challenges (data privacy, cold-start, misinformation) and propose mitigation strategies. Define a roadmap for testing, learning, and scaling.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.