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Product Management Root Cause Analysis Question: Investigating sudden increase in Cruise ride cancellations in downtown San Francisco

What factors are contributing to the sudden increase in customer cancellations before pickup for Cruise in the downtown San Francisco area?

Data Analysis Problem-Solving Strategic Thinking Autonomous Vehicles Ride-sharing Urban Mobility
User Experience Data Analysis Customer Retention Root Cause Analysis Autonomous Vehicles

Introduction

The sudden increase in customer cancellations before pickup for Cruise in downtown San Francisco is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for our product and business.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into our product, user journey, and metrics. We'll generate data-driven hypotheses, conduct root cause analysis, and develop a comprehensive plan to resolve the issue and prevent future occurrences.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Looking at the timing, I'm thinking there might be a recent change in our product or service. Has there been any significant update to the Cruise app or service in the past month?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: Yes, we updated the UI for booking rides. Impact on approach: If yes, we'd focus on the impact of this change on user behavior.

  • Considering user segments, I'm curious about the demographics affected. Are we seeing this increase across all user types, or is it more pronounced in specific groups?

Why it matters: Different user segments may react differently to changes or issues. Expected answer: It's more prevalent among occasional users. Impact on approach: This would guide our investigation towards the experience of occasional users.

  • Thinking about external factors, has there been any notable change in transportation options or traffic patterns in downtown San Francisco recently?

Why it matters: External changes could influence user behavior independently of our product. Expected answer: No significant changes noted. Impact on approach: If no, we'd focus more on internal factors and user experience issues.

  • Regarding system performance, have we observed any unusual patterns in app crashes or slow loading times coinciding with this increase in cancellations?

Why it matters: Technical issues can directly impact user behavior and satisfaction. Expected answer: Some intermittent slowdowns have been reported. Impact on approach: This would prompt a deeper dive into our technical infrastructure and performance metrics.

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