Introduction
The decline in average order value (AOV) for GOAT's apparel category by 20% compared to the previous quarter 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 business.
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 trends can significantly impact apparel sales. Expected answer: The decline occurred during the transition from summer to fall. Impact on approach: If confirmed, we'd need to compare year-over-year data for the same period.
Why it matters: Different segments may be reacting differently to changes or external factors. Expected answer: The decline is more significant among occasional buyers rather than frequent customers. Impact on approach: We'd focus on understanding what's changed for occasional buyers specifically.
Why it matters: Internal changes could directly impact user behavior and purchasing decisions. Expected answer: A new dynamic pricing algorithm was implemented at the start of the quarter. Impact on approach: We'd need to analyze the impact of this algorithm on pricing and user perception.
Why it matters: Ensures we're comparing apples to apples and not dealing with a data anomaly. Expected answer: No changes in calculation or measurement systems. Impact on approach: We can rule out technical issues in metric calculation and focus on actual business factors.
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