How can Finder enhance its credit card comparison tool to provide more personalized recommendations?

Introduction

Enhancing Finder's credit card comparison tool to provide more personalized recommendations is a critical initiative that can significantly improve user experience and drive business growth. I'll approach this challenge by first understanding the current product context, identifying key user segments, analyzing pain points, generating innovative solutions, and proposing a strategic implementation plan.

Step 1

Clarifying Questions (5 mins)

• Looking at the product context, I'm thinking Finder might be facing increased competition in the credit card comparison space. Could you share insights on our current market position and how it's evolved over the past year?

Why it matters: Determines if we need to focus on differentiation or doubling down on existing strengths. Expected answer: Slight market share decline due to new entrants with more personalized offerings. Impact on approach: Would prioritize innovative personalization features to regain competitive edge.

• Considering user behavior, I'm curious about the typical user journey. What percentage of users who start a comparison actually apply for a card through Finder?

Why it matters: Helps identify where in the funnel we're losing users and where to focus our personalization efforts. Expected answer: About 30% of users who start a comparison apply for a card. Impact on approach: Would focus on improving conversion at key decision points in the user journey.

• Regarding product lifecycle, where does the credit card comparison tool stand in terms of maturity and user adoption?

Why it matters: Influences whether we should focus on acquiring new users or improving retention and engagement of existing ones. Expected answer: Mature product with stable user base, but facing challenges in user retention. Impact on approach: Would emphasize personalization features that increase user engagement and loyalty.

• From a data perspective, what types of user information do we currently collect and use for recommendations?

Why it matters: Determines the baseline for personalization and identifies potential data gaps. Expected answer: Basic financial information and browsing behavior, but limited personal preferences or long-term financial goals. Impact on approach: Would explore ways to ethically gather more relevant user data to enhance personalization.