This felt like three questions crammed into one and I kind of froze deciding where to start.
Start by clarifying the product goal and user segments, then articulate the value proposition for both users and the business. Next, outline the algorithm design, including data sources, features, and model choice, and describe the end-to-end UX. Finally, define success metrics and an A/B testing plan to measure impact.
Pro tip: Tie every design choice back to a measurable hypothesis and consider potential biases like popularity bias or feedback loops. Show that you can balance short-term engagement with long-term user satisfaction.
Ask clarifying questions to understand the product's objectives, target users, and constraints. Identify user segments and their needs.
Explain why users would want this feature (e.g., discovery, convenience) and how it benefits the business (e.g., increased orders, retention).
Describe data sources (user behavior, restaurant attributes), features, model choice (e.g., collaborative filtering, content-based), and how to handle cold start and scalability.
Outline the end-to-end UX: placement on home page, presentation (e.g., carousel), explanations, and feedback mechanisms.
Define success metrics (e.g., CTR, conversion, retention), design an A/B test, and consider guardrail metrics and long-term effects.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.