Introduction
The decline in average order value (AOV) for PharmEasy's over-the-counter medications by 15% compared to the previous quarter is a significant issue that requires thorough investigation. This analysis will systematically identify, validate, and address the root cause while considering both immediate and long-term implications for the business.
To tackle this problem, I'll employ a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to uncover the underlying factors contributing to the AOV decline and propose actionable strategies to reverse this trend.
Framework overview
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 decline and inform our solution approach. Expected answer: The decline has been relatively consistent across the quarter. Impact on approach: If seasonal, we'd focus on year-over-year comparisons and seasonal strategies.
Why it matters: Different user segments may require targeted strategies to address the AOV decline. Expected answer: The decline is more pronounced among new customers. Impact on approach: We'd prioritize onboarding and first-time purchase experiences if new customers are more affected.
Why it matters: Recent changes could directly impact AOV and provide immediate areas for improvement. Expected answer: A new UI was implemented for the product browsing experience. Impact on approach: We'd focus on analyzing the impact of the UI change on user behavior and purchase decisions.
Why it matters: Competitive pressures could be driving down our AOV, requiring a market-responsive strategy. Expected answer: A major competitor launched an aggressive discount campaign. Impact on approach: We'd need to evaluate our pricing and promotion strategies in the context of the competitive landscape.
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