I spent way too long on the business framing and not enough on actual users.
Start by clarifying the problem scope and identifying the root causes of declining same-store sales through a user-centric lens. Then, prioritize product opportunities that address these causes, focusing on high-impact features that leverage Meta's strengths in social and digital experiences. Finally, outline how you would measure success and iterate.
Pro tip: Show that you understand the difference between same-store sales and total sales, and focus on solutions that drive repeat visits and basket size rather than one-time promotions. Also, consider both in-store and digital touchpoints to create a seamless omnichannel experience.
Ask clarifying questions to understand the context: Is the decline across all stores or specific locations? What is the time frame? Are there external factors like new competitors or changing demographics? Define the goal: increase same-store sales by X%.
Analyze potential reasons for the decline: Are customers visiting less frequently, spending less per visit, or both? Consider user segments (e.g., busy professionals, families) and their pain points. Use data to pinpoint the biggest drop-offs.
Generate ideas for features or products that address the root causes. Think about digital tools (e.g., app for personalized offers, loyalty programs) and in-store experiences (e.g., self-checkout, curbside pickup). Prioritize based on impact and feasibility.
Select the most promising solution(s) using a framework like RICE. Define a minimum viable product that can be tested quickly. Outline key features and user flows.
Establish metrics to measure success (e.g., increase in visit frequency, average basket size, same-store sales). Plan for A/B testing and iteration based on user feedback and data.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.