Introduction
Maven Clinic's virtual lactation support service has experienced a significant 30% drop in user engagement over the past month. This decline in a critical metric requires 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 engagement drop.
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 engagement fluctuations. Expected answer: No clear seasonal pattern identified. Impact on approach: If seasonal, we'd focus on cyclical strategies; if not, we'd investigate other factors.
Why it matters: Helps pinpoint if the issue is global or segment-specific. Expected answer: The drop is more pronounced in first-time mothers. Impact on approach: We'd tailor our investigation and solutions to the most affected segments.
Why it matters: Recent changes could directly impact user engagement. Expected answer: A new UI was implemented six weeks ago. Impact on approach: We'd focus on the impact of recent changes and potential rollback strategies.
Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes in metric definition or measurement. Impact on approach: If changed, we'd reassess the metric; if not, we'd focus on actual engagement factors.
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