How might Internet Brands enhance the search functionality on CarsDirect to help users find their ideal vehicle more efficiently?

Introduction

To enhance the search functionality on CarsDirect and help users find their ideal vehicle more efficiently, we need to take a comprehensive approach that considers user behavior, pain points, and technological advancements. I'll outline a strategy that addresses these aspects while aligning with Internet Brands' broader objectives.

Step 1

Clarifying Questions

• Looking at CarsDirect's position in the market, I'm thinking about the primary user segments we're targeting. Could you provide insights into our core user demographics and their typical car-buying journey on the platform?

Why it matters: This helps tailor our search improvements to the most valuable user segments. Expected answer: A mix of first-time buyers, families, and car enthusiasts across various age groups. Impact on approach: Would focus on creating personalized search experiences for different user types.

• Considering the competitive landscape, I'm curious about our current market position. How does CarsDirect's search functionality compare to major competitors like AutoTrader or Cars.com?

Why it matters: Identifies areas where we can differentiate or need to catch up. Expected answer: We're competitive but lagging in certain advanced filtering options. Impact on approach: Would prioritize unique features to set us apart from competitors.

• Given the evolving nature of the auto industry, I'm wondering about our data sources. How comprehensive and up-to-date is our vehicle database, especially regarding new models and emerging categories like electric vehicles?

Why it matters: Ensures our search improvements are built on a solid data foundation. Expected answer: Database is updated weekly but may have gaps in newer EV models. Impact on approach: Would include data quality improvements as part of the search enhancement strategy.

• Thinking about user behavior, I'm interested in understanding the most common search patterns. What are the top 3-5 search criteria users typically start with, and how do they refine their searches?

Why it matters: Helps prioritize which search features to enhance or redesign. Expected answer: Price, make/model, and location are primary; users often struggle with advanced filters. Impact on approach: Would focus on streamlining these key search parameters and improving filter usability.