Leading Stripe’s Fraud Design

Helping users get out of a high fraud situation

About Stripe’s Fraud Product Radar

Stripe is a payment processing company, and Radar is its fraud prevention product. There are two tiers for the Radar product: free and paid. In the free version, Stripe takes care of potentially fraudulent transactions by leveraging its ML algorithm. In the paid version, merchants have the ability to fine-tune the fraud-fighting journey by controlling the algorithm and writing manual rules, as well as reviewing potentially fishy transactions. The target user for the paid version is digital-native merchants that are generating enough transaction volumes where false positives from ML start to matter a lot and warrant full-time employees dedicated to fraud fights.

About This Project

In 2023 and 2024, Radar exhibited a pattern wherein if merchants grew in size, they would churn away from using Radar. Upon examining the data, we identified that users churned the most during states of high fraud pain, and there were a significant number of users experiencing high fraud pain at any given time. Through conducting UX research, we realized that users churned due to three unmet user needs: awareness, ability to investigate, and capability to write rules. To address these pain points, we identified the following projects as key directions to enhance the user experience.

Team Structure & My Role

As the design lead for Radar, I served as the focal point for all aspects related to tackling fraud design at Stripe. This entailed working closely with cross-functional partners to shape the product strategy, identifying projects, formulating sets of user stories to address, and developing high-fidelity mocks and prototypes for presentation to senior leadership to gain project buy-ins. I collaborated with 2 PMs, an Engineering Manager, and a team of 10 engineers. Additionally, as Stripe expanded its offering of fraud prevention products for platform users (e.g., Shopify and Doordash), I engaged across the organization to help establish the vision for how this experience would function and to align on the direction across two teams (Radar and the team focusing on platform users).

 
 

Overview Page Redesign

 

designing Monitoring status

 

Designing insights

 

Designing ML Setting experience

 

Designing Assistant

 

Previous Experience