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

Introduction

Motorway's vehicle valuation tool has experienced a significant 30% drop in user engagement over the past month, raising concerns about the product's performance and user satisfaction. This analysis will systematically investigate the root cause of this decline, considering various factors that could contribute to the decreased engagement. We'll follow a structured approach to identify, validate, and address the underlying issues while considering both immediate and long-term implications for the product.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might have been a recent product update. Has there been any significant change to the valuation tool in the past 1-2 months?

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

• Considering user segments, I'm curious about the engagement drop distribution. Is the 30% decrease uniform across all user types, or are certain segments more affected?

Why it matters: Helps identify if the issue is global or specific to certain users. Expected answer: It's affecting all users similarly or There's a higher impact on specific segments. Impact on approach: Uniform impact suggests a systemic issue, while segmented impact narrows our focus.

• Thinking about external factors, have there been any significant changes in the used car market in the past month?

Why it matters: Market conditions could influence user behavior independently of the tool. Expected answer: Yes, there's been a market shift or No, the market has been stable. Impact on approach: Market changes would require us to consider external factors more heavily.

• Regarding data integrity, has there been any change in how engagement is measured or tracked in the past month?

Why it matters: Ensures we're comparing apples to apples in our metrics. Expected answer: No changes in measurement or Yes, we adjusted our tracking. Impact on approach: Changes in measurement would require us to recalibrate our analysis.