Introduction
The sudden 30% drop in new listings per user for the Carousell mobile app over the past week is a critical issue that demands immediate attention. This significant decline could have far-reaching implications for user engagement, platform growth, and overall business 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 an update. Impact on approach: If yes, we'd focus on the changes made in that update.
Why it matters: Helps identify if the issue is global or specific to certain user groups. Expected answer: The decline varies across segments. Impact on approach: If varied, we'd prioritize investigating the most affected segments.
Why it matters: Ensures we're working with accurate and consistent data. Expected answer: No changes in measurement. Impact on approach: If changed, we'd need to reassess our metrics and data collection methods.
Why it matters: External factors could explain the sudden drop. Expected answer: No major external events. Impact on approach: If yes, we'd need to factor in these external influences in our analysis.
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