Introduction
The decline in average session duration for Yuanfudao's AI homework assistant from 20 minutes to 15 minutes this month signals a potential issue affecting user engagement. To address this, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications.
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 behavior. Expected answer: Yes, there was a major update. Impact on approach: If yes, we'd focus on the changes made and their effects.
Why it matters: Helps identify if the issue is universal or segment-specific. Expected answer: The decline is more significant among high school users. Impact on approach: We'd tailor our investigation and solutions to the most affected segments.
Why it matters: Ensures we're comparing apples to apples. Expected answer: No changes in measurement. Impact on approach: If there were changes, we'd need to reassess the validity of the comparison.
Why it matters: External factors could be driving the change in user behavior. Expected answer: No major changes in educational policies. Impact on approach: If there were changes, we'd need to factor them into our analysis and solutions.
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