Introduction
The sudden 20% decrease in new driver sign-ups in Lyft's Chicago market 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 Lyft's operations in Chicago.
I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product ecosystem, metric breakdown, and data analysis. From there, I'll form and validate hypotheses, conduct root cause analysis, and propose a comprehensive resolution plan.
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 could directly impact sign-ups. Expected answer: Yes, a new driver onboarding process was implemented. Impact on approach: If true, I'd focus on the new process as a primary factor.
Why it matters: Competitive pressures could be drawing potential drivers away. Expected answer: Uber launched an aggressive driver recruitment campaign. Impact on approach: If confirmed, I'd analyze our competitive positioning and value proposition.
Why it matters: Seasonal fluctuations could explain the decrease. Expected answer: This decrease is unusual for the season. Impact on approach: If atypical, I'd focus on Chicago-specific factors rather than broader trends.
Why it matters: Ensures we're not dealing with a data anomaly. Expected answer: No changes in tracking or definitions. Impact on approach: If changed, I'd first address data consistency before deeper analysis.
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