Introduction
The recent 15% drop in average order value for fresh produce on BigBasket 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 business.
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: Seasonal fluctuations can greatly impact fresh produce pricing and availability. Expected answer: Some seasonal changes in produce availability, but nothing out of the ordinary. Impact on approach: If confirmed, we'd need to look beyond seasonality for the root cause.
Why it matters: Changes in order frequency could indicate shifts in customer behavior or competing alternatives. Expected answer: Order frequency has remained relatively stable. Impact on approach: If frequency is stable, we'd focus more on order composition or pricing factors.
Why it matters: UI/UX changes can significantly impact user behavior and purchase decisions. Expected answer: No major UI/UX changes in the past month. Impact on approach: If confirmed, we'd need to look at other factors affecting user decision-making.
Why it matters: Ensures we're working with accurate data and not chasing a phantom problem. Expected answer: No changes to calculation methods or reporting systems. Impact on approach: If confirmed, we can confidently focus on actual business and user behavior factors.
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