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Product Management Root Cause Analysis Question: Investigating decreased ride duration for Mobike's electric scooters

Why has the average ride duration for Mobike's electric scooters decreased by 20% in the past month?

Data Analysis Problem Solving Strategic Thinking Micromobility Urban Transportation Sharing Economy
Data Analysis Product Metrics Root Cause Analysis User Behavior Micromobility

Introduction

The recent 20% decrease in average ride duration for Mobike's electric scooters is a concerning trend that requires immediate attention. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both short-term and long-term implications for our product and users.

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 seasonal factor at play. Have we seen similar patterns in ride duration during this time of year in previous years?

Why it matters: Seasonal trends could explain the change and inform our solution approach. Expected answer: No significant seasonal patterns observed in previous years. Impact on approach: If seasonal, we'd focus on adapting to cyclical changes; if not, we'd investigate other factors.

  • Considering user segments, I'm curious about the distribution of this decrease. Is the 20% drop consistent across all user groups, or are certain segments more affected?

Why it matters: Identifying specific affected groups could pinpoint the root cause more accurately. Expected answer: The decrease is more pronounced among casual users compared to regular commuters. Impact on approach: We'd tailor our investigation and solutions to the most affected user segments.

  • Given the magnitude of the change, I'm wondering about recent product updates. Have there been any significant changes to the app, pricing model, or scooter hardware in the past month?

Why it matters: Recent changes could directly correlate with the observed decrease in ride duration. Expected answer: A minor app update was released two weeks ago, primarily affecting the user interface. Impact on approach: We'd scrutinize the update's impact on user behavior and ride duration.

  • Thinking about external factors, has there been any change in local transportation policies or infrastructure that might affect scooter usage patterns?

Why it matters: External changes could influence user behavior and ride duration. Expected answer: No significant policy changes, but a new bike-sharing service launched in some areas. Impact on approach: We'd analyze the impact of new competition on our user base and ride patterns.

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