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)
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.
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.
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.
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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