Introduction
A sudden 30% decrease in video uploads to Kuaishou's short-form video platform is a critical issue that demands immediate attention. This significant drop could impact user engagement, content diversity, and ultimately, the platform's growth. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing 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: Pinpointing the exact timeframe helps narrow down potential causes. Expected answer: The decrease was noticed yesterday. Impact on approach: A sudden drop suggests an acute issue rather than a gradual trend.
Why it matters: Identifying affected segments can reveal targeted issues. Expected answer: The decrease is relatively uniform across segments. Impact on approach: A uniform decrease might indicate a platform-wide issue rather than a segment-specific problem.
Why it matters: Content-specific issues could point to targeted problems or policy changes. Expected answer: Some variation across categories, but generally consistent. Impact on approach: Consistent decrease across categories suggests a broader platform issue.
Why it matters: Recent changes could directly impact user behavior or system performance. Expected answer: No significant changes in the past week. Impact on approach: If no recent changes, we'll need to look at other factors like technical issues or external events.
Why it matters: Ensures we're not chasing a non-existent problem due to data errors. Expected answer: Tracking systems and definitions are consistent and accurate. Impact on approach: Confirms the issue is real and not a data anomaly, focusing our efforts on actual causes.
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