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Company focus

Rapido

What factors are causing the average trip duration for Rapido's auto rickshaw bookings to increase by 15% since last quarter?

Prepared by NextSprints

12 mins
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Data Analysis Problem Solving Strategic Thinking Ride-hailing Urban Mobility Transportation Data Analysis Product Metrics Root Cause Analysis User Behavior Transportation
Product Management Root Cause Analysis Question: Investigating increased trip duration for Rapido's auto rickshaw service

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.

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 seasonal factors at play. Has this increase coincided with any particular season or weather pattern?

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.

  • Considering user segments, I'm curious if this increase is uniform across all user groups. Have we seen any particular demographic or user type more affected by this increase?

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.

  • Thinking about recent changes, I'm wondering if there have been any significant updates to our routing algorithm or app interface in the last quarter?

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.

  • Considering external factors, has there been any major infrastructure work or changes in traffic patterns in our key operating areas?

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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Updated Jan 22, 2025