Introduction
To improve the personalization of NerdWallet's loan recommendations, we need to dive deep into user behavior, data utilization, and the current recommendation algorithm. I'll outline a strategic approach to enhance personalization, focusing on user segmentation, pain point analysis, and innovative solutions.
Step 1
Clarifying Questions (5 mins)
Why it matters: Determines the complexity of the personalization algorithm and data requirements. Expected answer: Focus on personal loans and mortgages. Impact on approach: Would tailor the solution to these specific loan types and their unique factors.
Why it matters: Identifies potential gaps in our data collection that could improve personalization. Expected answer: Basic financial information, credit score, and browsing behavior on the site. Impact on approach: Would focus on expanding data collection or better utilizing existing data.
Why it matters: Helps quantify the potential impact of improved personalization. Expected answer: Slightly below industry average, with room for improvement. Impact on approach: Would prioritize high-impact areas for personalization to boost conversion rates.
Why it matters: Identifies opportunities to introduce or enhance personalization at different touchpoints. Expected answer: Primarily on the homepage and loan product pages. Impact on approach: Would consider expanding personalization to other areas of the user journey.
Tip
I'd like to take a brief moment to organize my thoughts before moving on to the next step. Is that alright with you?
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