Implementing Payments Fraud Management filters for Small and Medium retail and e-commerce merchants
| Timeline | 2 Months |
|---|---|
| Team | 1 Designer(me), 1 UX Analysts, 1 Data Analysts, 1 PM, Several Devs & Data engineers across cross-functional teams |
| Scope | User Research, User Interface Prototyping, Desktop Web |
| Role | UX Designer |
| Industry | B2B Enterprise, SaaS, Ecommerce |
PayPal is a global online payments platform that allows users to send and receive money. In 2017, PayPal's fraud management team was tasked with developing a new fraud management filter system for SME(Small and Medium Enterprise) merchants. The goal of the new system was to help merchants reduce the risk of fraudulent transactions and protect their businesses.
As a sole UI designer for the PayPal fraud management team, I was tasked with creating an MVP version of fraud management system for the SME (Small & Medium Enterprises) merchant's web app product.
The goal was to develop a system that would help merchant customers detect and prevent fraudulent transactions effectively with a automated system.
The key challenge was to design an intuitive and efficient user experience that allowed users to set up natural language form filters as rules to manage and monitor transactions while providing functionalities like review, approve, and reject.
<aside> 💡 Being a MVP pilot concept, I worked alongside my product manager, several developers from cross functional teams.
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<aside> 🖌️ Due to NDA and confidentiality agreements, the case study have been intentionally made vague and provides an idea of the concept shipped.
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<aside> 🖥️ View Designs
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