Introduction
The recent 15% decrease in average order value for fresh produce on Twiga Foods is a concerning trend that requires immediate attention. As we delve into this issue, we'll employ a systematic approach to identify, validate, and address the root cause while considering both short-term and long-term implications for the business.
Our analysis will follow a structured framework, beginning with clarifying questions to establish context, followed by a thorough examination of external factors, product understanding, metric breakdown, and data-driven hypothesis formation. We'll then conduct a root cause analysis, propose validation methods, and outline a comprehensive resolution plan.
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: This helps identify if the issue is systemic or category-specific. Expected answer: Certain categories are more affected than others. Impact on approach: If specific, we'd focus on those categories; if general, we'd look at broader factors.
Why it matters: UI changes can significantly impact user behavior and order values. Expected answer: A minor update to the product listing page was implemented. Impact on approach: If yes, we'd investigate the impact of these changes on user behavior.
Why it matters: External factors can greatly influence fresh produce availability and pricing. Expected answer: There were some transportation issues due to heavy rains. Impact on approach: This would lead us to investigate supply chain and pricing strategies.
Why it matters: Changes in user demographics or behavior can affect average order values. Expected answer: There's been an increase in smaller, more frequent orders. Impact on approach: We'd focus on understanding changes in user behavior and preferences.
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