Introduction
CVS Health's prescription delivery service has experienced a 25% decrease in usage within urban areas compared to the previous month. This significant drop in a key 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 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 patterns could explain the fluctuation and inform our solution approach. Expected answer: No, this decrease is unusual for this time of year. Impact on approach: If seasonal, we'd focus on optimizing for known patterns; if not, we'd investigate recent changes or external factors.
Why it matters: Different age groups may have varying reasons for reduced usage, affecting our targeted solutions. Expected answer: The decrease is more pronounced in younger age groups (18-35). Impact on approach: We'd focus on understanding and addressing the needs of younger urban users specifically.
Why it matters: Recent changes could directly impact user experience and service usage. Expected answer: A minor app update was released three weeks ago. Impact on approach: We'd investigate the impact of the update on user behavior and potentially consider a rollback if necessary.
Why it matters: Competitive pressure could be drawing users away from CVS's service. Expected answer: A new entrant launched an aggressive marketing campaign in major cities last month. Impact on approach: We'd analyze our competitive positioning and consider adjusting our marketing or service offerings.
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