Introduction
The recent 15% increase in average trip duration for Rapido's auto rickshaw bookings since last quarter is a concerning trend that requires thorough investigation. To address this issue, I'll employ a systematic approach to identify, validate, and resolve the root cause while considering both immediate and long-term implications for our product and users.
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 changes can significantly impact travel patterns and durations. Expected answer: The increase started during the monsoon season. Impact on approach: If confirmed, we'd need to consider weather-related factors in our analysis.
Why it matters: Identifying specific affected groups can help narrow down potential causes. Expected answer: The increase is more pronounced among commuters during peak hours. Impact on approach: We'd focus on factors affecting commuter trips during rush hours.
Why it matters: Product changes can have unintended consequences on user behavior and trip durations. Expected answer: A new route optimization feature was implemented last month. Impact on approach: We'd need to closely examine the impact of this new feature on trip durations.
Why it matters: External changes can significantly impact travel times beyond our control. Expected answer: Several major road construction projects have started in key areas. Impact on approach: We'd need to factor in these external changes and possibly adjust our routing to accommodate them.
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