Introduction
To improve Anghami's music discovery algorithm and help users find new artists more effectively, we need to analyze the current user experience, identify pain points, and develop innovative solutions. I'll approach this challenge by examining user segments, analyzing their journey, and proposing data-driven improvements to the discovery algorithm.
Step 1
Clarifying Questions (5 mins)
Why it matters: This information will help tailor our discovery algorithm improvements to the most relevant user groups. Expected answer: Primarily Middle Eastern and North African markets, with a growing young adult user base. Impact on approach: Would focus on region-specific artist recommendations and culturally relevant discovery features.
Why it matters: Determines the depth and breadth of personalization we can implement in the discovery algorithm. Expected answer: Collect listening history, likes, and playlists, with standard GDPR compliance. Impact on approach: Would explore ways to enhance data collection while respecting user privacy.
Why it matters: Helps align our discovery algorithm improvements with Anghami's core strengths and differentiation strategy. Expected answer: Strong focus on Arabic content, local artist partnerships, and region-specific playlists. Impact on approach: Would emphasize surfacing local and emerging artists in the discovery process.
Why it matters: Ensures our proposed solutions align with and support Anghami's broader product strategy. Expected answer: Plans for social features, podcast integration, or live streaming capabilities. Impact on approach: Would explore ways to incorporate these new features into the discovery process.
Tip
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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