There is a data point that indicates that there are more Uber drop-offs at the airport than pick-ups from the airport. Why is this the case and what would you do within the product to change that?

Introduction

The discrepancy between Uber drop-offs and pick-ups at the airport presents an intriguing product challenge. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications for the product and business.

Step 1

Clarifying Questions (3 minutes)

• Looking at user behavior, I'm thinking there might be a preference for alternative transportation options from the airport. Would you say this trend is consistent across all airports or specific to certain locations?

Why it matters: Understanding the scope helps determine if it's a localized issue or a broader trend. Expected answer: Varies by location, but generally consistent across major airports. Impact on approach: If localized, we'd focus on specific airport partnerships; if widespread, we'd look at broader product changes.

• Considering timing patterns, I'm wondering if this discrepancy is more pronounced during certain times of day or days of the week. Have you noticed any temporal patterns in this data?

Why it matters: Time-based patterns could indicate specific user needs or operational challenges. Expected answer: More pronounced during peak arrival times, especially evenings and weekends. Impact on approach: We might need to adjust driver incentives or user messaging based on time-sensitive factors.

• Thinking about recent changes, has there been any significant update to the app's airport functionality or pricing structure in the past few months?

Why it matters: Recent changes could directly impact user behavior and explain the discrepancy. Expected answer: No major changes, but minor updates to the airport queue system for drivers. Impact on approach: If recent changes are involved, we'd need to evaluate their impact and potentially roll back or modify them.

• Considering user segments, I'm curious if this trend is more pronounced among certain types of users, such as business travelers versus leisure travelers?

Why it matters: Different user segments may have varying needs and behaviors that require targeted solutions. Expected answer: More pronounced among leisure travelers, less so for business users. Impact on approach: We might need to develop segment-specific strategies to address the issue effectively.