Introduction
The sudden 30% increase in return rates for men's jackets on Zalando this month is a critical issue that demands immediate attention. This unexpected spike could significantly impact customer satisfaction, inventory management, and overall profitability. 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 factors can greatly influence clothing returns. Expected answer: No unusual weather patterns observed. Impact on approach: If weather isn't a factor, we'll focus more on internal causes.
Why it matters: Inaccurate product information can lead to increased returns. Expected answer: Minor updates to product descriptions were made last month. Impact on approach: If confirmed, we'll investigate the impact of these changes on customer expectations.
Why it matters: Different customer segments may have varying expectations or return behaviors. Expected answer: No significant changes in customer demographics noted. Impact on approach: If demographics are stable, we'll look more closely at product or operational factors.
Why it matters: Faulty size recommendations could lead to ill-fitting purchases and subsequent returns. Expected answer: No known issues with the algorithm reported. Impact on approach: If confirmed, we'll shift focus to other potential causes like product quality or marketing strategies.
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