Introduction
The 15% decrease in average order value for Gelato's canvas prints compared to the previous quarter is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for the product and 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 patterns could explain the fluctuation and inform our approach. Expected answer: No, this decrease is unusual for this time of year. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if not, we'd investigate recent changes.
Why it matters: Identifying affected segments helps narrow down potential causes. Expected answer: The decrease is more significant among new customers. Impact on approach: We'd focus on recent changes affecting new user acquisition or onboarding.
Why it matters: Product or pricing changes could directly impact average order value. Expected answer: Yes, we introduced a new, lower-priced canvas option. Impact on approach: We'd analyze the impact of this new option on overall product mix and pricing strategy.
Why it matters: Ensures we're comparing apples to apples and not chasing a data anomaly. Expected answer: No changes in calculation methods or reporting systems. Impact on approach: If changed, we'd focus on data integrity; if not, we'd look at actual business factors.
Practice similar questions
Subscribe to access the full answer