Introduction
The recent 30% drop in daily active users for MBI's Audience Builder tool is a critical issue that demands immediate attention and a thorough root cause analysis. As we delve into this problem, we'll employ a systematic approach to identify, validate, and address the underlying factors contributing to this significant decline in user engagement.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Seasonal fluctuations could explain the drop and influence our solution approach. Expected answer: No significant seasonal pattern observed in previous years. Impact on approach: If seasonal, we'd focus on strategies to mitigate annual dips; if not, we'd investigate recent changes or issues.
Why it matters: Identifying disproportionately affected segments could point to specific issues or user needs. Expected answer: Enterprise users show a higher drop rate compared to small businesses. Impact on approach: We'd tailor our investigation and solutions to address the needs of the most affected segments.
Why it matters: Changes in data quality or availability could directly impact the tool's effectiveness and user engagement. Expected answer: A major data provider updated their API two weeks ago. Impact on approach: We'd focus on investigating the impact of this API change on data quality and user experience.
Why it matters: New features or changes can sometimes disrupt user workflows or introduce bugs. Expected answer: A new UI was rolled out gradually over the past month. Impact on approach: We'd examine the correlation between the UI rollout and the drop in active users, possibly considering a rollback or targeted improvements.
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