Introduction
The decline in average order value (AOV) for electronics on Namshi by 20% this quarter is a significant issue that requires thorough investigation. I'll approach this problem systematically, focusing on identifying potential root causes, validating hypotheses, and developing both short-term and long-term solutions.
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 trends can significantly impact purchasing behavior. Expected answer: It's not aligned with any specific seasonal event. Impact on approach: If seasonal, we'd focus on year-over-year comparisons instead of quarter-over-quarter.
Why it matters: Recent changes could directly impact user behavior and AOV. Expected answer: A new product recommendation algorithm was implemented. Impact on approach: We'd need to analyze the algorithm's impact on product visibility and user choices.
Why it matters: Changes in product mix can significantly affect AOV. Expected answer: No major changes in product offerings. Impact on approach: We'd need to look deeper into user behavior and external factors.
Why it matters: Ensures we're comparing apples to apples across quarters. Expected answer: No changes in AOV calculation methods. Impact on approach: If changed, we'd need to recalculate past data for accurate comparison.
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