Introduction
The recent 15% drop in daily active users for Interos's supplier risk assessment tool 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 trend.
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 inform our approach. Expected answer: No significant seasonality in this industry. Impact on approach: If seasonal, we'd focus on year-over-year comparisons instead of month-over-month.
Why it matters: Ensures we're addressing a real issue, not a measurement anomaly. Expected answer: No changes to DAU definition or tracking. Impact on approach: If measurement changed, we'd need to recalibrate our analysis based on consistent metrics.
Why it matters: External factors could be driving the decrease in usage. Expected answer: No major supply chain disruptions reported. Impact on approach: If external factors are at play, we'd need to consider how to adapt our tool to remain relevant in changing market conditions.
Why it matters: Recent changes could be impacting user behavior. Expected answer: A minor UI update was implemented 6 weeks ago. Impact on approach: If recent changes are involved, we'd focus on user feedback and usage patterns related to those specific updates.
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