Introduction
The sudden 50% decrease in average ride duration for BIK's electric scooters last week is a critical issue that demands immediate attention. This significant drop could have far-reaching implications for user satisfaction, revenue, and overall business performance. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term and long-term solutions.
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: App changes could directly impact user behavior and ride duration. Expected answer: Yes, there was an app update last week. Impact on approach: If confirmed, we'd focus on analyzing the app changes and their potential effects on user behavior.
Why it matters: Identifying specific affected segments could narrow down potential causes. Expected answer: The decrease is more pronounced among casual users compared to frequent riders. Impact on approach: We'd investigate factors that might disproportionately affect casual users, such as onboarding or pricing changes.
Why it matters: Pricing changes can significantly impact user behavior and ride patterns. Expected answer: A new per-minute pricing model was introduced two weeks ago. Impact on approach: We'd analyze how the new pricing model might incentivize shorter rides.
Why it matters: Weather can greatly influence scooter usage patterns and ride durations. Expected answer: There have been unusually heavy rains in several key markets. Impact on approach: We'd investigate how weather patterns correlate with the decrease in ride duration and consider weather-related product improvements.
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