Why has the average order value for Rebel Foods' Faasos wraps decreased by 15% over the past month?

Introduction

The recent 15% decrease in average order value (AOV) for Rebel Foods' Faasos wraps over the past month 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 an examination of external factors, product understanding, metric breakdown, data gathering, hypothesis formation, root cause analysis, and finally, validation and next steps.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has there been any significant change in weather patterns or local events that could affect food ordering behavior?

Why it matters: Seasonal changes can greatly impact food preferences and ordering habits. Expected answer: No significant seasonal changes noted. Impact on approach: If confirmed, we'll focus more on internal factors.

• Considering potential changes in user segments, have you noticed any shift in the demographics of customers ordering Faasos wraps recently?

Why it matters: Different user segments may have varying price sensitivities or preferences. Expected answer: No major demographic shifts observed. Impact on approach: If true, we'll investigate other factors affecting existing customer behavior.

• I'm curious about recent product changes. Have there been any modifications to the Faasos wrap menu, pricing, or portion sizes in the past month?

Why it matters: Direct product changes could significantly impact AOV. Expected answer: Some minor menu adjustments were made. Impact on approach: This could be a key area to investigate further.

• Thinking about system integrity, has there been any change in how AOV is calculated or reported in the last month?

Why it matters: Ensures we're working with accurate and consistent data. Expected answer: No changes to AOV calculation methods. Impact on approach: If confirmed, we can rule out data integrity issues.

• Considering market dynamics, have there been any notable competitor actions or promotions in the past month that might affect Faasos' performance?

Why it matters: Competitive pressures can influence customer behavior and pricing strategies. Expected answer: Some increased promotional activity from competitors. Impact on approach: We'll need to factor in competitive landscape in our analysis.