Introduction
To improve iHerb's mobile app search function for more efficient product discovery, we need to analyze user behavior, identify pain points, and develop targeted solutions. I'll approach this by examining user segments, analyzing their journey, and proposing data-driven improvements to enhance the search experience.
Step 1
Clarifying Questions (5 mins)
Why it matters: This will help us determine whether to focus on improving exact match searches or enhancing discovery features. Expected answer: A mix of both, with a slight lean towards exploration. Impact on approach: We'd need to balance optimizing for both precise searches and serendipitous discovery.
Why it matters: This insight would help us understand if we need to focus on improving the entire purchase journey within the app or optimize for cross-device continuity. Expected answer: There's significant cross-device usage, with many users starting searches on mobile but completing purchases on desktop. Impact on approach: We might need to consider features like saved searches or wishlists that sync across devices.
Why it matters: This would help us understand if we need to tailor the search function to highlight certain product categories or unique offerings. Expected answer: iHerb has a strong reputation for supplements and natural beauty products. Impact on approach: We might consider ways to subtly promote these categories in search results or provide category-specific search filters.
Why it matters: Different KPIs would lead us to prioritize different aspects of the search function. Expected answer: The primary focus is on increasing conversion rates, with a secondary goal of improving user engagement. Impact on approach: We'd prioritize features that help users find and purchase products quickly, while also considering ways to encourage exploration and repeat visits.
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
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