Started by scoping the user base which felt right, but I jumped to solutions way too fast.
Start by clarifying the goal of improving search on Walmart.com, then structure your answer around a user-centric framework: identify user needs, assess current search performance, prioritize improvements based on impact and feasibility, and define success metrics. Focus on Walmart's unique context as a hybrid e-commerce and retail platform, and tie improvements to business outcomes like conversion and customer satisfaction.
Pro tip: Demonstrate product sense by acknowledging trade-offs between search relevance and monetization, and propose a phased roadmap with quick wins and long-term bets. Show you understand Walmart's competitive landscape against Amazon and Google Shopping.
Ask clarifying questions to understand the objective: is the goal to increase conversion, improve user satisfaction, or drive ad revenue? Define the scope (e.g., site-wide search, mobile vs. desktop).
Segment users (e.g., grocery shoppers, general merchandise) and map their search journeys. Identify common pain points like irrelevant results, poor handling of typos, or lack of filters.
Evaluate metrics such as search exit rate, click-through rate, conversion rate, and zero-result rate. Use qualitative data (user feedback) and competitive benchmarking.
Generate potential solutions (e.g., semantic search, personalized ranking, voice search) and prioritize using a framework like RICE (Reach, Impact, Confidence, Effort) or impact/effort matrix.
Propose a phased roadmap with quick wins and long-term initiatives. Define KPIs such as search conversion rate, NPS, and revenue per search.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.