Introduction
The decline in average order value (AOV) for beauty products on Zalando by 20% since the new app update is a significant issue that requires 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.
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: Establishes a clear timeline for the issue. Expected answer: A specific date within the last few months. Impact on approach: Helps narrow down potential causes related to the update.
Why it matters: Identifies if the issue is widespread or specific to certain user groups. Expected answer: Variation in impact between user segments. Impact on approach: Guides focus on specific user experiences or broader app functionality.
Why it matters: Ensures the observed decline is real and not a result of measurement errors. Expected answer: No changes in AOV calculation methods. Impact on approach: If changes occurred, it would shift focus to data integrity issues.
Why it matters: Helps distinguish between app-related issues and product offering changes. Expected answer: Information on any major catalog or pricing changes. Impact on approach: Would help determine if the root cause is UI/UX related or tied to product strategy.
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