I started by trying to narrow the user and their pain points before jumping to solutions, which felt right, but I probably spent too long on the problem space and rushed the actual product design.
Start by clarifying the goal and scope with the interviewer, then segment users and identify key pain points in the in-store grocery shopping journey. Brainstorm and prioritize features that leverage Meta's strengths (social, mobile, AR) to create a differentiated solution, and outline how you would measure success.
Pro tip: Anchor your solution in a specific user pain point and show how it aligns with Meta's mission and business model; avoid generic features that any retailer could build.
Ask clarifying questions to understand the goal (e.g., increase engagement, drive foot traffic, improve satisfaction), target users (e.g., busy parents, tech-savvy millennials), and constraints (e.g., integration with existing retailers, privacy).
Identify key user segments and map their in-store shopping journey to uncover major pain points such as finding items, long checkout lines, lack of product information, and difficulty sticking to a budget.
Brainstorm features that address the pain points, leveraging Meta's assets like social graph, AR, and mobile capabilities. Examples: social shopping lists, AR navigation, personalized deals, and seamless checkout.
Use a prioritization framework (e.g., RICE) to select the most impactful and feasible features for an MVP, ensuring it delivers clear value and can be tested quickly.
Outline key metrics (e.g., time saved, engagement, conversion) and a phased roadmap for iteration, including potential risks and mitigation strategies.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.