I blanked for a second because the product wasn't Airbnb at all, which threw me.
Start by clarifying the goal of the search bar on EdX—likely to help learners find relevant courses quickly and efficiently. Then, define success metrics across the user journey: engagement, search quality, and business impact. Finally, prioritize metrics and suggest how to measure them, considering both quantitative and qualitative data.
Pro tip: Don't just list metrics; tie them to the user's intent and the platform's business model. For example, a successful search should lead to course enrollment, not just clicks. Also, consider segmenting by user type (e.g., new vs. returning learners) to uncover nuanced insights.
Ask clarifying questions to understand the search bar's role: Is it for course discovery, within-course content, or both? What are the primary user goals and business objectives?
Break down the search experience into stages: query entry, results page, and post-search actions. Identify what success looks like at each stage (e.g., relevant results, high click-through, enrollment).
Choose metrics that capture engagement (e.g., search usage rate), quality (e.g., click-through rate, zero-result rate), and business impact (e.g., conversion to enrollment). Include both leading and lagging indicators.
Prioritize metrics based on alignment with business goals and actionability. Set realistic targets by benchmarking against industry standards or internal baselines.
Outline how to track metrics (e.g., analytics tools, A/B tests) and how to use insights to iterate on the search experience. Consider qualitative methods like user surveys for deeper understanding.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.