Introduction
The recent 20% decline in average watch time per session on iQiyi's smart TV app is a critical issue that demands immediate attention. This metric directly impacts user engagement, content consumption, and ultimately, the platform's revenue. To address this problem, I'll employ a systematic approach to identify potential root causes, validate hypotheses, and develop both short-term fixes and long-term strategies.
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 changes in viewing habits. Expected answer: No significant seasonal events during this period. Impact on approach: If seasonal, we'd focus on adapting content strategy; if not, we'd investigate other factors.
Why it matters: Identifying specific affected groups could point to targeted issues. Expected answer: The decline is more pronounced among younger users. Impact on approach: If specific to certain groups, we'd tailor our solution to those segments.
Why it matters: Recent changes could directly impact user behavior. Expected answer: A new recommendation algorithm was implemented two weeks ago. Impact on approach: If related to recent changes, we'd focus on rollback or optimization of those features.
Why it matters: External competitive factors could influence user engagement. Expected answer: A new streaming service launched with exclusive content. Impact on approach: If competition-related, we'd focus on content strategy and unique value proposition.
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