The Instagram Feed team is discussing: should we mix in more suggested content or prioritize following-only content?

Introduction

The Instagram Feed team is grappling with a crucial decision: should we increase the amount of suggested content or prioritize following-only content in users' feeds? This trade-off directly impacts user experience, engagement, and content discovery on the platform. I'll analyze this problem by examining the product context, potential impacts, key metrics, and experimental approaches to guide our decision-making process.

Step 1

Clarifying Questions (3 minutes)

• Based on recent platform changes, I'm thinking this decision might be driven by a shift in user behavior or engagement metrics. Could you provide some context on what's prompting this discussion now?

Why it matters: Helps understand the urgency and potential external factors influencing the decision. Expected answer: Recent decline in time spent on app or changes in content consumption patterns. Impact on approach: Would focus analysis on addressing specific user behavior changes.

• Considering our business model, I assume advertising revenue is a key factor. How does the current mix of suggested vs. following content impact our ad placement and effectiveness?

Why it matters: Aligns solution with revenue goals and advertiser satisfaction. Expected answer: Suggested content provides more opportunities for targeted ad placement. Impact on approach: Would need to balance user experience with monetization potential.

• Looking at our user segments, I'm curious about the impact on different user types. Can you share any data on how content creators versus casual users interact with suggested content?

Why it matters: Ensures we consider diverse user needs and potential impacts on content ecosystem. Expected answer: Creators benefit from wider reach, while some users prefer curated feeds. Impact on approach: Would need to design a solution that balances creator exposure and user preferences.

• From a technical perspective, I'm wondering about our recommendation algorithm's current performance. How confident are we in its ability to surface relevant suggested content to users?

Why it matters: Assesses feasibility and potential quality of increased suggested content. Expected answer: Algorithm performs well but has room for improvement in personalization. Impact on approach: Might need to factor in algorithm enhancements as part of the solution.

• Considering our product roadmap, how does this decision align with our long-term vision for the Instagram experience?

Why it matters: Ensures alignment with broader product strategy and future plans. Expected answer: Moving towards a more discovery-focused platform while maintaining strong connections. Impact on approach: Would need to balance short-term engagement with long-term platform evolution.