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Company focus

heycar

Why has heycar's vehicle search function seen a 15% drop in usage over the past month?

Prepared by NextSprints

12 mins
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Data Analysis Problem-Solving User Experience Automotive E-commerce Digital Marketplaces Data Analysis Root Cause Analysis User Behavior Search Optimization Automotive
Product Management Root Cause Analysis Question: Investigating declining search usage for an online car marketplace

Introduction

The 15% drop in heycar's vehicle search function usage over the past month is a critical issue that demands immediate attention. As we analyze this product challenge, we'll employ a systematic framework to identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.

Our approach will involve a thorough examination of the search function's performance, user behavior patterns, and potential technical issues. We'll set a clear agenda to guide our investigation, starting with clarifying questions to establish context, followed by a comprehensive analysis of internal and external factors that could be contributing to this decline.

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 trend. Has this 15% drop been compared to the same period last year?

Why it matters: Seasonal fluctuations could explain the change without indicating a deeper problem. Expected answer: No significant seasonal trend observed in previous years. Impact on approach: If seasonal, we'd focus on optimizing for known patterns; if not, we'd dig deeper into recent changes.

  • Considering user segments, I'm curious about the distribution of this drop. Is the 15% decrease uniform across all user types, or is it more pronounced in specific segments?

Why it matters: Identifying affected segments could point to specific issues or changes impacting certain users. Expected answer: The drop is more significant among mobile users. Impact on approach: If segment-specific, we'd focus on that platform or user group; if uniform, we'd look at broader issues.

  • Thinking about recent changes, have there been any updates to the search algorithm or UI in the last 1-2 months?

Why it matters: Recent changes could directly correlate with the usage drop. Expected answer: A minor UI update was implemented 6 weeks ago. Impact on approach: If changes occurred, we'd scrutinize their impact; if not, we'd explore other factors.

  • Considering data integrity, has there been any change in how search usage is measured or reported?

Why it matters: Ensures we're comparing apples to apples and not chasing a non-existent problem. Expected answer: No changes to measurement or reporting systems. Impact on approach: If measurement changed, we'd recalibrate our analysis; if not, we'd proceed with investigating actual usage patterns.

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Updated Jan 22, 2025