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Product Management Root Cause Analysis Question: Investigating Ola Auto's ride completion rate decline

Asked at Ola

12 mins

Why has the average ride completion rate for Ola Auto dropped by 15% in the past month?

Data Analysis Problem-Solving Strategic Thinking Transportation Technology Mobility
Data Analysis Root Cause Analysis User Behavior Algorithm Optimization Ride-Hailing

Introduction

The recent 15% drop in Ola Auto's average ride completion rate is a critical issue that demands immediate attention. This analysis will systematically investigate potential root causes, validate hypotheses, and propose targeted solutions to address this concerning trend in our key performance metric.

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. Has this drop coincided with any major weather events or festivals in our key markets?

Why it matters: Seasonal trends can significantly impact ride demand and driver availability. Expected answer: No major seasonal events correlate with the drop. Impact on approach: If confirmed, we'll focus more on internal factors.

  • Considering user segments, I'm curious if this drop is uniform across all rider types. Are we seeing any differences in completion rates between frequent users and occasional riders?

Why it matters: Segmentation could reveal targeted issues affecting specific user groups. Expected answer: The drop is more pronounced among occasional riders. Impact on approach: We'd prioritize investigating the occasional rider experience and onboarding process.

  • Thinking about recent changes, have we implemented any updates to the auto-booking flow or driver assignment algorithm in the past month?

Why it matters: Recent product changes could have unintended consequences on ride completions. Expected answer: A minor update to the driver assignment algorithm was rolled out three weeks ago. Impact on approach: We'd focus on analyzing the impact of this specific change on ride completions.

  • Regarding performance metrics, has there been any change in how we calculate or track the ride completion rate?

Why it matters: Ensures we're comparing apples to apples and not facing a data anomaly. Expected answer: No changes to the metric calculation or tracking systems. Impact on approach: We'd rule out measurement issues and focus on actual performance factors.

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