What factors are contributing to the 20% drop in flight hours booked through Wheels Up's mobile app in the last month?

Introduction

The recent 20% drop in flight hours booked through Wheels Up's mobile app is a critical issue that demands immediate attention. As we analyze this product challenge, I'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into product understanding, metric breakdown, and hypothesis generation. We'll then conduct a thorough root cause analysis, propose validation methods, and outline a clear resolution plan.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal trend. Has this 20% drop been compared to the same period last year?

Why it matters: Seasonal patterns could explain the fluctuation and impact our solution approach. Expected answer: Yes, it's been compared and the drop is unusual for this time of year. Impact on approach: If seasonal, we'd focus on year-over-year comparisons; if not, we'd investigate recent changes.

• Considering user segments, I'm curious about the distribution of the drop. Is the 20% decrease uniform across all user types, or is it more pronounced in certain segments?

Why it matters: Identifying affected segments helps narrow down potential causes and tailor solutions. Expected answer: The drop is more significant among frequent flyers. Impact on approach: We'd focus on investigating issues specific to high-value users if that's the case.

• Thinking about recent changes, have there been any updates to the app or booking process in the last 1-2 months?

Why it matters: Recent changes could directly correlate with the drop in bookings. Expected answer: A new UI for the booking flow was implemented 6 weeks ago. Impact on approach: We'd prioritize analyzing the impact of this change on user behavior.

• Considering data integrity, has there been any change in how flight hours are measured or reported in the last month?

Why it matters: Ensures we're dealing with a real issue and not a data anomaly. Expected answer: No changes in measurement or reporting methods. Impact on approach: Confirms we need to look at actual user behavior and product issues.