Introduction
The sudden 20% decline in average order value (AOV) across multiple states for dutchie's e-commerce platform this week is a critical issue that demands 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.
To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. This framework ensures a comprehensive examination of all potential factors contributing to the AOV decline.
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: Regulatory shifts could directly impact purchasing behavior. Expected answer: No significant regulatory changes reported. Impact on approach: If confirmed, we'll focus more on internal factors and user behavior.
Why it matters: Technical glitches could be preventing higher-value transactions. Expected answer: No major technical issues reported, but worth investigating further. Impact on approach: If technical issues are present, we'll prioritize immediate fixes.
Why it matters: Different user types may have distinct purchasing patterns. Expected answer: No significant changes in user segment proportions. Impact on approach: If confirmed, we'll explore other factors affecting purchasing behavior.
Why it matters: Changes in available products or pricing could directly impact AOV. Expected answer: Some minor updates to product offerings, but no major overhauls. Impact on approach: We'll investigate how these changes might have affected purchasing decisions.
Why it matters: Competitive pressures could be influencing customer behavior. Expected answer: Some increased competitor activity, but nothing out of the ordinary. Impact on approach: We'll factor in competitive landscape when analyzing user behavior.
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