Introduction
To enhance OnlyFans' content discovery algorithm for better matching creators with potential subscribers, we need to dive deep into user behavior, content preferences, and engagement patterns. This improvement is crucial for increasing user satisfaction, creator success, and platform revenue. I'll approach this challenge by analyzing key stakeholders, identifying pain points, generating innovative solutions, and proposing metrics to measure success.
Step 1
Clarifying Questions
Why it matters: This helps us understand if the discovery problem is more about initial attraction or sustained engagement. Expected answer: Users spend 60% of their time browsing and 40% engaging with specific creators. Impact on approach: A high browsing percentage would indicate a need to focus on improving initial content recommendations.
Why it matters: This informs the extent to which we can use personal data to improve recommendations. Expected answer: We use basic engagement data but avoid leveraging sensitive content preferences. Impact on approach: Strong privacy constraints would lead us to focus more on contextual and collaborative filtering techniques.
Why it matters: This helps us determine if we need to focus more on surfacing new talent or optimizing for established creators. Expected answer: Top 10% of creators generate 80% of content engagement, with this concentration increasing over time. Impact on approach: A high concentration would suggest a need to improve discovery for emerging creators to maintain platform health.
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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