Introduction
Designing a friend recommendation system for Facebook is a critical task that can significantly impact user engagement and growth. This system would aim to suggest potential connections to users, enhancing their social network and overall platform experience. I'll approach this challenge by first clarifying our objectives, then analyzing user segments and pain points, before proposing and prioritizing solutions.
Tip
Does this approach sound good to you? I'm happy to adjust if you have any specific areas you'd like me to focus on.
Step 1
Clarifying Questions (3 minutes)
Why it matters: This helps frame the solution within company constraints and existing resources. Expected answer: Yes, we're focusing on Facebook's platform. Impact on approach: We'd leverage Facebook's vast user data and align with their current product suite.
Why it matters: This affects our user segmentation and prioritization strategy. Expected answer: The focus is on active users, but consider dormant users as a secondary goal. Impact on approach: We'd prioritize features for active users while incorporating elements to re-engage dormant ones.
Why it matters: This information would guide our baseline metrics and improvement targets. Expected answer: Yes, we have access to high-level performance metrics. Impact on approach: We'd use this data to set realistic goals and measure the impact of our new system.
Propose the Goal
Given Facebook's focus on connecting people and fostering meaningful interactions, I believe our goal should be to increase the number of successful friend connections while improving the relevance and quality of recommendations. Does this align with your vision?
Define the Scope
For this product design challenge, should we focus on enhancing the "People You May Know" feature, or are we looking at a broader redesign of Facebook's friend recommendation system?
Based on your answers, I'll assume we're focusing on enhancing the existing "People You May Know" feature within Facebook's platform, with a primary focus on active users and a secondary consideration for re-engaging dormant users.
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