Introduction
The decline in average session duration for new users in the BIGO Live app from 20 minutes to 12 minutes this month is a critical issue that demands immediate attention. This significant drop in engagement could have far-reaching consequences for user retention, monetization, and overall app performance. 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: Recent changes could directly impact user behavior. Expected answer: Yes, there was a major UI overhaul. Impact on approach: If confirmed, we'd focus on UI/UX issues in our analysis.
Why it matters: Different definitions could lead to different root causes. Expected answer: New users are those who signed up within the last 30 days. Impact on approach: This would help us narrow down our analysis to recent cohorts.
Why it matters: Ensures we're not chasing a data anomaly instead of a real problem. Expected answer: No changes in measurement methodology. Impact on approach: If confirmed, we can focus on actual user behavior changes.
Why it matters: Different user sources could lead to different engagement patterns. Expected answer: We've increased our TikTok advertising spend. Impact on approach: This might lead us to investigate the quality of users from new acquisition channels.
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