levona yim

Lead Product Designer

I’m open to new opportunities & collaboration :)

LinkedIn

levona.yim@gmail.com

FICO • Personalized Dashboards • 2025

Timeline
2025
Role
Lead Product Designer
Team
  • Product Managers
  • VP of Architecture
  • Engineering
  • Architect
  • Sales
  • UX Research

Context & Problem

FICO is best known for creating the credit scoring system, but many people don’t realize it also offers the FICO Platform.

This software automates data-driven decisions that work behind the scenes, such as fraud detection, credit approval, risk assessment, and customer decisions. It’s built for businesses that need to make high-volume decisions quickly and consistently.

How can we create an experience that fits the unique needs of various users?

The FICO Platform serves a wide range of people, from technical specialists like Data Scientists and Business Analysts to operational users like Admins and Business Owners. Because each role has different goals and tasks, the platform delivers role-based views that surface each user’s most critical work first.

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FICO • Data Models • 2025

Timeline
2025
Role
Lead Product Designer
Team
  • Product Managers
  • VP of Architecture
  • Engineering
  • Architect
  • Sales
  • UX Research

Context & Problem

The FICO Platform is a software that automates data-driven decisions that work behind the scenes, such as fraud detection, credit approval, risk assessment, and customer decisions. It’s built for businesses that need to make high-volume decisions quickly and consistently.

The FICO Platform contains many kinds of models, and one of them is the Business Terms Capability (aka data models). A data model defines how information is structured and how its pieces relate.

How can we help teams agree on what their data means, so every product builds on the same understanding?

When each team defines data its own way, products start to conflict. Teams spend time untangling mismatches, asking for help, or rebuilding work that already exists. Without a shared data model, the result is slower delivery and more costly mistakes.

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