Introduction
The sudden 30% increase in return rates for Zalando's men's jeans this month is a critical issue that demands immediate attention. This unexpected spike in returns not only impacts customer satisfaction but also affects our bottom line and operational efficiency. To address this problem, I'll employ a systematic approach to identify, validate, and resolve 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 changes can impact buying behavior and return rates. Expected answer: No significant seasonal changes noted. Impact on approach: If confirmed, we'll focus more on internal factors.
Why it matters: Product changes could directly impact fit and customer satisfaction. Expected answer: A new slim-fit line was introduced three weeks ago. Impact on approach: This could be a key factor to investigate further.
Why it matters: Policy changes can significantly impact return behavior. Expected answer: No recent changes to the return policy. Impact on approach: We'll focus more on product and customer experience factors.
Why it matters: Ensures we're dealing with a real issue, not a data anomaly. Expected answer: No changes in measurement methods. Impact on approach: Confirms the validity of the reported increase.
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