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Product Management Root Cause Analysis Question: Investigating Twitch's 'Just Chatting' viewer count decline

Why has the average viewer count for Twitch's "Just Chatting" category dropped by 15% over the past month?

Data Analysis Hypothesis Formation Problem-Solving streaming social media entertainment
User Engagement Data Analysis Product Metrics Root Cause Analysis Streaming Platforms

Introduction

The recent 15% drop in average viewer count for Twitch's "Just Chatting" category over the past month is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the platform.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Timing: Given the 15% drop over a month, I'm wondering about any specific events or changes. Could you provide more details on when exactly this decline started and if it was gradual or sudden?

Why it matters: Understanding the timing helps identify potential triggers or correlations. Expected answer: The decline started about three weeks ago and has been relatively consistent. Impact on approach: A sudden drop might indicate a specific event or change, while a gradual decline could suggest a broader trend or user behavior shift.

  • User segments: I'm curious about the demographics affected. Has this decline been consistent across all viewer age groups and geographic regions?

Why it matters: Different user segments may react differently to changes or be influenced by external factors. Expected answer: The decline is more pronounced among younger viewers (18-24) and in North America. Impact on approach: This would focus our investigation on factors specifically affecting these demographics.

  • Content trends: Considering the nature of "Just Chatting," I'm wondering if there have been any notable shifts in content types or popular streamers within this category.

Why it matters: Changes in content or influential streamers could significantly impact viewer engagement. Expected answer: There's been a slight decrease in political commentary streams, but otherwise, no major shifts. Impact on approach: This might lead us to investigate broader trends in viewer interests or competing platforms.

  • Technical changes: Have there been any recent updates to the platform, particularly around discoverability or the recommendation algorithm for "Just Chatting" content?

Why it matters: Technical changes can have unintended consequences on user behavior and content visibility. Expected answer: A minor update to the recommendation algorithm was implemented about a month ago. Impact on approach: This would prompt a deeper dive into the algorithm's performance and its impact on viewer behavior.

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