Introduction
The sudden 15% drop in conversion rate for women's shoes on Zalando is a critical issue that demands immediate attention. As we delve into this product execution problem, I'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
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 factors can greatly influence fashion purchases. Expected answer: No significant seasonal changes noted. Impact on approach: If confirmed, we'd focus more on internal factors.
Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: A minor update to product recommendation algorithm was implemented. Impact on approach: This would become a primary focus of our investigation.
Why it matters: Helps narrow down potential causes and affected user groups. Expected answer: The drop is more significant in casual and formal categories. Impact on approach: We'd prioritize investigating these specific categories.
Why it matters: Technical issues can directly impact conversion rates. Expected answer: No major technical issues reported. Impact on approach: We'd shift focus to user experience and product-related factors.
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