Introduction
Improving Epidemic Sound's music search functionality to help users find tracks faster is a critical challenge that directly impacts user satisfaction and productivity. As we dive into this problem, we'll explore user behaviors, pain points, and innovative solutions to enhance the search experience. I'll structure my approach as follows: clarifying questions, user segmentation, pain point analysis, solution generation, evaluation, and metrics for success.
Step 1
Clarifying Questions
Why it matters: This helps us tailor the search functionality to the most common user needs. Expected answer: Primarily used for content creation, especially by YouTubers and podcasters. Impact on approach: Would focus on search features that support quick discovery for time-sensitive projects.
Why it matters: The scale of the library impacts the complexity of the search problem. Expected answer: Over 100,000 tracks with hundreds added weekly. Impact on approach: Would emphasize advanced filtering and recommendation systems to handle large, dynamic catalogs.
Why it matters: Helps identify if the problem is with search initiation or result relevance. Expected answer: Users perform 5-7 searches per session, with a 20% download rate. Impact on approach: Would focus on improving result relevance and reducing the number of searches needed.
Why it matters: Helps align improvements with the company's core strengths and market position. Expected answer: Known for high-quality tracks but lagging in search speed and accuracy. Impact on approach: Would prioritize speed optimizations and accuracy improvements in search algorithms.
At this point, you can ask interviewer to take a 1-minute break to organize your thoughts before diving into the next step.
Practice similar questions
Subscribe to access the full answer