Introduction
The sudden 15% drop in Kuaishou's short video feed daily active users over the past week is a critical issue that demands immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the decline.
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: Recent changes could directly impact user engagement. Expected answer: Yes, there was an algorithm update. Impact on approach: If confirmed, we'd focus on analyzing the algorithm change's effects.
Why it matters: Helps identify if the issue is global or specific to certain user segments. Expected answer: The decline is more pronounced among younger users. Impact on approach: We'd investigate factors specifically affecting younger demographics.
Why it matters: External factors could be drawing users away from Kuaishou. Expected answer: A competitor launched a new feature last week. Impact on approach: We'd analyze the competitor's offering and its potential impact on our users.
Why it matters: Technical problems could directly cause a drop in active users. Expected answer: No significant technical issues reported. Impact on approach: We'd shift focus to non-technical factors if confirmed.
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