Introduction
The decline in average order value (AOV) for grocery items on Warung Pintar's marketplace by 15% over the past month 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.
To tackle this problem, I'll follow a structured approach that covers issue identification, hypothesis generation, validation, and solution development. My goal is to provide a comprehensive analysis that not only addresses the immediate concern but also strengthens our overall product strategy.
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 changes could explain the AOV decline without indicating a deeper problem. Expected answer: No significant seasonal changes observed. Impact on approach: If seasonal, we'd focus on inventory management and marketing strategies.
Why it matters: Changes in user composition could significantly impact AOV. Expected answer: Some shift towards younger, more price-sensitive customers. Impact on approach: If confirmed, we'd need to reassess our targeting and value proposition.
Why it matters: UI changes can dramatically affect user behavior and purchase decisions. Expected answer: Minor UI tweaks, but nothing major. Impact on approach: If significant changes occurred, we'd need to conduct a thorough UX analysis.
Why it matters: Increased competition could be driving prices down or shifting customer loyalty. Expected answer: Some new entrants, but no major disruptions. Impact on approach: If competition is intensifying, we'd need to reassess our pricing and loyalty strategies.
Why it matters: Ensures we're not chasing a non-existent problem due to data errors. Expected answer: No changes in calculation methods or known system issues. Impact on approach: If data issues are found, we'd need to involve our data team before proceeding.
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