What factors are contributing to the 30% decrease in click-through rates on LendingTree's mortgage refinance comparison tool since the last website update?

Introduction

The recent 30% decrease in click-through rates on LendingTree's mortgage refinance comparison tool is a critical issue that demands immediate attention. This significant drop in user engagement could have far-reaching consequences for the company's revenue and market position. I'll approach this problem systematically, focusing on identifying the root cause, validating hypotheses, and developing both short-term fixes and long-term strategies to address the issue.

Step 1

Clarifying Questions (3 minutes)

• Looking at the timing, I'm thinking there might be a correlation with the website update. Can you provide more details about the nature and scope of the recent website changes?

Why it matters: Understanding the specific changes made can help pinpoint potential causes of the decreased click-through rate. Expected answer: A list of major changes implemented in the update. Impact on approach: If the changes were significant, we'd focus more on UI/UX issues; if minimal, we'd look elsewhere.

• I'm curious about the user segments affected. Has the decrease been uniform across all user groups, or are certain demographics more impacted?

Why it matters: This helps identify if the issue is global or specific to certain user types. Expected answer: Data showing variation in impact across different user segments. Impact on approach: If specific segments are more affected, we'd tailor our solution to those groups.

• Considering external factors, have there been any significant changes in the mortgage market or interest rates during this period?

Why it matters: External market conditions can greatly influence user behavior in financial products. Expected answer: Information on recent market trends or interest rate changes. Impact on approach: If market conditions have changed significantly, we'd need to factor this into our analysis and solutions.

• I'm wondering about the consistency of the data. Has there been any change in how click-through rates are measured or reported since the update?

Why it matters: Ensures we're comparing apples to apples and not dealing with a measurement issue. Expected answer: Confirmation of consistent measurement methods or details of any changes. Impact on approach: If measurement methods have changed, we'd need to re-evaluate our baseline data.