Introduction
The recent 20% decrease in average watch time for Skillshare's video lessons over the past month is a critical issue that demands immediate attention. This metric directly impacts user engagement, content effectiveness, and ultimately, the platform's success. 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: Seasonal patterns could explain temporary fluctuations. Expected answer: No significant seasonal events during this period. Impact on approach: If seasonal, we'd focus on cyclical engagement strategies.
Why it matters: Identifies whether the issue is global or segment-specific. Expected answer: The decrease is more pronounced among newer users. Impact on approach: We'd prioritize onboarding and early engagement initiatives.
Why it matters: Recent changes could directly impact user behavior. Expected answer: A new recommendation algorithm was implemented. Impact on approach: We'd focus on analyzing and optimizing the new algorithm.
Why it matters: Ensures the observed decrease is real and not a measurement artifact. Expected answer: No changes in measurement methodology. Impact on approach: Confirms we're dealing with an actual behavioral shift.
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