Why has Edmunds's vehicle comparison tool seen a 30% drop in user engagement over the past month?

Introduction

Edmunds's vehicle comparison tool experiencing a 30% drop in user engagement over the past month is a significant issue that requires immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term and long-term implications for the product and business.

I'll approach this problem by first clarifying the context, then ruling out external factors before diving deep into the product itself. We'll break down the metric, gather relevant data, form hypotheses, and conduct a thorough root cause analysis. Finally, we'll develop a plan to validate our findings and implement solutions.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a seasonal component. Has this 30% drop been compared to the same period last year?

Why it matters: Seasonal trends could explain engagement fluctuations. Expected answer: Yes, it's been compared and the drop is unusual for this time of year. Impact on approach: If seasonal, we'd focus on why this year is different; if not, we'd look at recent changes.

• Considering user segments, I'm curious if this drop is uniform across all user types. Are we seeing different engagement patterns between, say, first-time users and returning users?

Why it matters: Helps pinpoint if the issue is affecting specific user groups. Expected answer: The drop is more pronounced among returning users. Impact on approach: If it's returning users, we'd investigate changes that might have alienated our core audience.

• Thinking about recent updates, have there been any significant changes to the comparison tool or related features in the past 1-2 months?

Why it matters: Recent changes often correlate with sudden metric shifts. Expected answer: A minor UI update was rolled out 6 weeks ago. Impact on approach: If there were changes, we'd scrutinize their impact; if not, we'd look at external factors or gradual user behavior shifts.

• Considering data integrity, has there been any change in how we measure or define user engagement for this tool?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement or definition. Impact on approach: If changed, we'd recalibrate our analysis; if not, we'd focus on actual engagement issues.