Introduction
The sudden 30% decrease in eHealth's prescription drug plan comparison tool usage over the past month is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.
To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive analysis that not only pinpoints the cause of the usage drop but also outlines a clear path forward to resolve the issue and prevent similar occurrences in the future.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Recent changes could directly impact user behavior and tool usage. Expected answer: Yes, there was a UI refresh about 6 weeks ago. Impact on approach: If confirmed, I'd focus on analyzing the impact of these changes on user experience and engagement.
Why it matters: Identifying specific affected segments could point to targeted issues or user needs. Expected answer: The decrease is more pronounced among older users (65+). Impact on approach: This would lead me to investigate accessibility issues or changes that might disproportionately affect older users.
Why it matters: Ruling out seasonal fluctuations is crucial for accurate problem identification. Expected answer: Usage is typically stable year-round, with a slight increase during open enrollment. Impact on approach: If confirmed, this would strengthen the case for an internal or recent external factor causing the decrease.
Why it matters: External market factors could significantly influence user behavior and tool relevance. Expected answer: No major market changes, but a new competitor launched a similar tool last month. Impact on approach: This would prompt investigation into competitive pressures and potential user migration.
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