Introduction
ELMO Software's Learning Management System (LMS) has experienced a significant 20% drop in course completions over the past month. This decline in a key performance indicator warrants a thorough investigation to identify the root cause and develop effective solutions. I'll approach this analysis systematically, examining both internal and external factors that could contribute to this issue.
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 patterns could explain the drop and inform our solution approach. Expected answer: No significant seasonal patterns observed in previous years. Impact on approach: If seasonal, we'd focus on adapting to cyclical demand; if not, we'd investigate other factors.
Why it matters: Identifying specific affected groups could point to targeted issues or changes. Expected answer: The drop is more pronounced in enterprise users compared to small business users. Impact on approach: We'd focus on enterprise-specific factors if the drop is concentrated there.
Why it matters: Recent changes could directly impact user behavior and course completions. Expected answer: A minor UI update was rolled out 6 weeks ago. Impact on approach: We'd investigate the impact of the UI changes on user engagement and course navigation.
Why it matters: Changes in measurement could create false impressions of performance drops. Expected answer: No changes to tracking or reporting methods. Impact on approach: If changes occurred, we'd need to recalibrate our analysis based on the new methodology.
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