What factors are causing the average order value for Tabby's Split in 4 payments option to decline by 15% this quarter?

Introduction

The decline in average order value (AOV) for Tabby's Split in 4 payments option by 15% this quarter 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 product and business.

I'll approach this problem by first clarifying key details, ruling out external factors, and then diving deep into product understanding, metric breakdown, and data analysis. From there, I'll form hypotheses, conduct root cause analysis, and propose validation methods and solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be seasonal factors at play. Has this 15% decline been consistent throughout the quarter or did it spike at any particular time?

Why it matters: Seasonal patterns could indicate external factors rather than product issues. Expected answer: The decline has been gradual throughout the quarter. Impact on approach: A gradual decline would suggest looking into product or user behavior changes.

• Considering user segments, I'm curious if this decline is uniform across all customer types. Have you noticed any differences in AOV decline between new and returning customers?

Why it matters: Different impacts on user segments could point to specific product or marketing issues. Expected answer: The decline is more pronounced among new customers. Impact on approach: This would lead me to investigate onboarding and first-time user experience.

• Thinking about recent changes, have there been any updates to the Split in 4 payment option or related features in the past quarter?

Why it matters: Recent changes could directly impact user behavior and AOV. Expected answer: A minor UI update was implemented at the start of the quarter. Impact on approach: I'd focus on analyzing the impact of this UI change on user behavior.

• Regarding competitive landscape, has there been any significant change in competitors' offerings or marketing strategies for similar payment options?

Why it matters: Competitive pressures could be driving users to make different choices. Expected answer: A major competitor launched a 0% interest option last month. Impact on approach: I'd investigate how this competitive move might be affecting our user base.

• Considering data integrity, has there been any change in how AOV is calculated or tracked in our systems?

Why it matters: Ensures we're dealing with a real issue and not a data anomaly. Expected answer: No changes to AOV calculation or tracking systems. Impact on approach: Confirms we need to look at actual product and user behavior factors.