Introduction
The recent 15% decrease in average order value (AOV) for Deliveroo's London restaurant partners is a concerning trend that requires immediate attention. This analysis will systematically investigate potential root causes, generate data-driven hypotheses, and propose actionable solutions to address the issue. We'll examine both internal and external factors, considering the complex ecosystem of food delivery and the unique challenges of the London market.
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 trends can significantly impact dining habits and order values. Expected answer: Information about recent weather patterns or events. Impact on approach: If seasonal, we'd focus on strategies to mitigate seasonal fluctuations.
Why it matters: Changes in user composition or behavior could explain the AOV decrease. Expected answer: Data on order frequency and customer demographics. Impact on approach: If user behavior has changed, we'd need to investigate why and how to adapt.
Why it matters: Product changes can directly impact user behavior and order values. Expected answer: Information about recent platform or menu updates. Impact on approach: If product-related, we'd need to assess the impact of these changes and potentially roll back or modify them.
Why it matters: Increased competition could be driving down prices or fragmenting the market. Expected answer: Information about competitor activities and market share. Impact on approach: If competition-driven, we'd need to focus on differentiation and value proposition strategies.
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