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Product Management Root Cause Analysis Question: Investigating Lyft's driver signup decrease in Chicago market
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Vinay

Updated Nov 27, 2024

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Asked at Lyft

15 mins

What's causing the sudden 20% decrease in new driver sign-ups in Lyft's Chicago market?

Data Analysis Problem Solving Strategic Thinking Ridesharing Gig Economy Transportation
Data Analysis Root Cause Analysis Driver Acquisition Market Strategy Ridesharing

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)

  • Looking at the timeframe, I'm wondering about recent changes. Has there been any significant product update or policy change in the last 30-60 days?

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.

  • Considering market dynamics, has there been any notable change in competitor activity in Chicago recently?

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.

  • Thinking about seasonality, is this decrease out of line with historical trends for this time of year in Chicago?

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.

  • Regarding data integrity, has there been any change in how we're tracking or defining new driver sign-ups?

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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