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)
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.
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.
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.
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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