ROLE
Product Designer
TIMELINE
2025
TEAM




IMPACT
Design Outcomes
Designed and shipped analytics and transaction management features helping process $9.5B daily payment data
Owned features that reduced transaction lookup time from 9.3 seconds to 1.2 seconds
Conducted quantitative and qualitative research to inform key design decisions and effectively communicate insights to stakeholders and leadership.
CONTEXT
What is Unified Payment Platform (UPP)?
In late 2024, I joined the Global Payments & Trade team to redesign Unified Payment Platform (UPP): a core internal tool used daily by hundreds of operations and finance professionals to track, monitor, and edit payment processing information.
THE PROBLEM
Users couldn't understand complex data
Dense payment details and cluttered layouts make even simple actions overwhelming.
Key information was being buried, leading to missed actions
PROBLEM #1
Information Overload

Looking at Excel, users had to drill down through busy columns to find key information they need to track payments.
Compounded by juggling between multiple platforms (Excel, UPP, APY) for different data, users had to sift through dense tables and multiple platforms to locate key payment details.
PROBLEM #2
Low discoverability
Critical records needing attention were buried, leading to missed actions.

During a timed usability study, It took users 9.3 seconds to find Shares and Price information in Excel for a specific account. This delay compounded over hundreds of daily transactions, contributing to slower processing times and increased reporting errors.
PROTOTYPING
Filtering & Search Functions
Table filtering allowing users to instantly locate relevant transactions via status or transaction type.
Search functionality, giving users the option to search a transaction by Transaction ID, sender, receiver, or amount of money.
FEEDBACK
User Testing
After testing with 4 users, we found that our design changes were successful, however hinted at a different issue: not being able to understand data from a bigger picture.
I love the search feature, and use it every day. But sometimes it feels like I can’t see the bigger picture
USER INSIGHTS
Highlight Patterns
Users needed dense payment data to be easier to parse at a glance, reducing cognitive overload during high-volume processing
Holistic Data
Users still struggled to interpret trends and connections between transactions, signaling a need for synthesized, high-level analytics.
NEW FEATURE
Analytics
Added a new feature allowing users to easily, scannable way for users to read and understand their data


A new table flow with filtering and search transforms complex data scanning into a predictable, goal-directed path that users can follow intuitively.

Recent activity allowing users to catch up on recent transactions they might've missed.
PROTOTYPING
Data Visualization
Finding the metrics users wanted displayed in real-time was complicated, as well as figuring out which method of data visualization would be most effective. I drafted different versions of line charts, bar graphs, and pie charts depending on the data depicted, as well as different iterations of metrics in designs.



SOLUTION
Landing on the Final Solution
Early on, I assumed giving users the ability to drill down into data was the solution. But as I dug deeper, I realized the real challenge was deciding which types of data users needed a detailed view of vs. a summarized view.
REFLECTION
Focusing on Key Flows
Validating assumptions early can prevent building solutions on an incomplete understanding of user needs
