How can we explain the 25% reduction in average transaction value for Upside's grocery store partners in the last two weeks?

Introduction

The recent 25% reduction in average transaction value for Upside's grocery store partners is a significant issue that requires immediate attention and a thorough analysis. To address this problem, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for our product and business.

Step 1

Clarifying Questions (3 minutes)

• Given the sudden drop, I'm wondering about recent changes. Have there been any significant updates to our product or partnerships in the last month?

Why it matters: Recent changes could directly impact user behavior. Expected answer: Yes, we launched a new feature two weeks ago. Impact on approach: If true, we'd focus on the new feature's impact on transaction values.

• Considering user segments, has this decline been uniform across all grocery partners or concentrated in specific regions or store types?

Why it matters: Helps identify if the issue is systemic or localized. Expected answer: The decline is more pronounced in urban areas. Impact on approach: We'd investigate urban-specific factors if this is the case.

• Thinking about seasonality, how does this period compare to the same time last year in terms of transaction values?

Why it matters: Rules out normal seasonal fluctuations. Expected answer: Last year saw a slight increase during this period. Impact on approach: If true, we'd focus on year-over-year changes in market conditions or user behavior.

• Regarding data integrity, have there been any changes to how we calculate or collect average transaction value data?

Why it matters: Ensures the issue isn't a data anomaly. Expected answer: No changes to data collection or calculation methods. Impact on approach: If there were changes, we'd need to audit our data systems first.