Introduction
The recent 40% decline in engagement rates for top writers' stories on Medium is a critical issue that demands immediate attention. This significant drop in claps and comments over just two weeks could have far-reaching implications for Medium's ecosystem, potentially affecting writer retention, content quality, and overall platform growth. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term fixes and long-term strategic implications.
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: Platform changes often have unintended consequences on user behavior. Expected answer: Yes, there was a minor UI update. Impact on approach: If confirmed, we'd focus on analyzing the impact of these specific changes.
Why it matters: Changes in classification could affect the data set we're analyzing. Expected answer: No changes to the top writer criteria. Impact on approach: If unchanged, we'd look at other factors affecting this specific group.
Why it matters: External factors can significantly impact user engagement patterns. Expected answer: No major external events identified. Impact on approach: If confirmed, we'd focus more on internal factors and user behavior changes.
Why it matters: Technical glitches can directly impact engagement metrics. Expected answer: No significant technical issues reported. Impact on approach: If no issues, we'd shift focus to user behavior and content-related factors.
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