Introduction
A sudden 30% drop in Saks Fifth Avenue's online shoe orders last month is a significant issue that demands immediate attention and thorough analysis. This problem could have far-reaching implications for the company's revenue, customer satisfaction, and market position. I'll approach this issue systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
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 patterns could explain the sudden change and inform our solution approach. Expected answer: No, this drop is unusual for this time of year. Impact on approach: If seasonal, we'd focus on inventory management; if not, we'd investigate other factors.
Why it matters: Recent changes could directly impact user behavior and sales. Expected answer: A new filter system was implemented in the shoe category. Impact on approach: If changes were made, we'd focus on usability and A/B testing; if not, we'd look at external factors.
Why it matters: Understanding which segments are most affected helps target our investigation and solutions. Expected answer: The drop is more significant among occasional shoppers rather than loyal customers. Impact on approach: If segment-specific, we'd tailor solutions to those groups; if universal, we'd look at broader issues.
Why it matters: Technical issues could directly impact sales and user experience. Expected answer: No major technical issues have been reported. Impact on approach: If technical problems exist, we'd prioritize fixing them; if not, we'd focus on other areas.
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