Introduction
The recent 20% decline in click-through rate (CTR) on recommended streams on Twitch following the latest UI update is a concerning trend that requires immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose a strategic plan to address the issue while considering both short-term fixes and long-term implications for Twitch's recommendation system.
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: This helps establish a clear timeline and potential correlation. Expected answer: The update was rolled out two weeks ago over a 48-hour period. Impact on approach: A sudden drop aligning with the rollout would strengthen the UI change hypothesis.
Why it matters: This could reveal if the issue is platform-specific or affects certain user groups more. Expected answer: The decline is more pronounced on desktop (25%) compared to mobile (15%). Impact on approach: This would focus our investigation more on the desktop UI changes.
Why it matters: This helps distinguish between frontend UI issues and potential backend changes. Expected answer: No significant changes to the recommendation algorithm in the past month. Impact on approach: This would shift focus more towards the UI changes rather than backend issues.
Why it matters: This could reveal if the issue is content-related rather than UI-specific. Expected answer: No significant changes in content mix or streamer activities. Impact on approach: This would reinforce the focus on UI and user experience factors.
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