Introduction
The recent 15% drop in daily active users for Paycor's Time & Attendance module is a concerning trend that requires immediate attention and a thorough root cause analysis. As we delve into this issue, we'll systematically examine potential factors, generate data-driven hypotheses, and develop a comprehensive plan to address the underlying causes and reverse this decline.
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 change without indicating a deeper problem. Expected answer: No significant seasonal pattern observed in previous years. Impact on approach: If seasonal, we'd focus on optimizing for cyclical usage patterns.
Why it matters: Identifying specific affected segments could point to targeted issues. Expected answer: The decline is more pronounced among small business users. Impact on approach: We'd prioritize investigating features or changes that disproportionately affect small businesses.
Why it matters: Recent changes could directly correlate with the usage decline. Expected answer: A minor UI update was rolled out 6 weeks ago. Impact on approach: We'd scrutinize the impact of this UI change on user behavior and engagement.
Why it matters: Technical problems could be driving users away from the platform. Expected answer: No significant increase in reported errors or downtime. Impact on approach: If technical issues are present, we'd prioritize resolving these before addressing other factors.
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