Introduction
Instagram's Explore content diversity has plummeted to 20% unique sources, signaling a critical issue in the platform's content discovery ecosystem. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for Instagram's user experience and engagement metrics.
I'll approach this issue by first clarifying the context, then ruling out external factors before diving deep into product understanding, metric breakdown, and hypothesis formation. We'll then conduct a thorough root cause analysis, propose validation methods, and outline a comprehensive resolution plan.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Algorithm changes often have unintended consequences on content diversity. Expected answer: Yes, there was a recent update aimed at improving engagement. Impact on approach: If confirmed, we'd focus on algorithm fine-tuning rather than external factors.
Why it matters: Changes in user behavior could be driving the algorithm to narrow its content selection. Expected answer: There's been a slight increase in time spent on certain content categories. Impact on approach: This would lead us to investigate potential feedback loops in the recommendation system.
Why it matters: A decrease in new content could naturally lead to less diversity in recommendations. Expected answer: Content creation rates have remained stable. Impact on approach: If stable, we'd focus more on the distribution mechanism rather than content supply.
Why it matters: Technical issues could be limiting the pool of content available for recommendations. Expected answer: No major infrastructure changes or outages reported. Impact on approach: This would help us rule out technical limitations and focus on algorithmic or policy-related causes.
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