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Product Management Root Cause Analysis Question: Investigating CarDekho's used car valuation tool engagement decline
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Nextsprints

Updated Jan 22, 2025

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Why has CarDekho's used car valuation tool seen a 30% drop in user engagement over the past month?

Data Analysis Problem Solving User Experience Design Automotive E-commerce Technology
User Engagement Data Analytics Root Cause Analysis Product Optimization Automotive Tech

Introduction

CarDekho's used car valuation tool has experienced a significant 30% drop in user engagement over the past month. This decline raises concerns about the tool's effectiveness and user satisfaction. 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 the product.

Framework overview

This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.

Step 1

Clarifying Questions (3 minutes)

  • Considering the sudden drop, I'm wondering if there have been any recent changes to the tool. Have there been any updates or modifications to the used car valuation feature in the last 1-2 months?

Why it matters: Recent changes could directly impact user engagement. Expected answer: Yes, there was a UI update or No, no significant changes. Impact on approach: If yes, we'd focus on the update's impact; if no, we'd look at external factors or gradual user behavior shifts.

  • Given the specific 30% drop, I'm curious about the metric definition. Has there been any change in how user engagement is measured for this tool?

Why it matters: Ensures we're comparing apples to apples in our analysis. Expected answer: No changes in measurement or Yes, we adjusted our tracking. Impact on approach: If changed, we'd need to recalibrate our analysis based on the new definition.

  • Thinking about user segments, I'm wondering if this drop is uniform across all user types. Are we seeing this 30% decrease consistently across different user segments (e.g., first-time users vs. returning users)?

Why it matters: Helps identify if the issue is global or specific to certain user groups. Expected answer: It's consistent or No, it varies by segment. Impact on approach: If varied, we'd focus on the most affected segments and their unique characteristics.

  • Considering potential technical issues, I'm curious about the tool's performance. Have there been any reported technical problems or increased error rates in the past month?

Why it matters: Technical issues could directly cause decreased engagement. Expected answer: Yes, we've had some issues or No, everything's been stable. Impact on approach: If yes, we'd prioritize technical fixes; if no, we'd focus more on user experience and value proposition.

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