Fraud Protection
Helping businesses evaluate fraud protection with their own data. I shaped the foundational experience and acquisition journey, connecting data upload to a readable risk diagnosis.

Businesses needed to understand what a fraud engine could reveal about their own transactions and historical data.
I joined the project quickly, established its design foundation and focused the acquisition experience on evaluating historical data.
The experience guides prospective customers from uploading their data to understanding risk through reports and visualizations.
Follow the evaluation journey from a guided start to a risk diagnostic report.
The initial dashboard introduces the evaluation tasks and gives the customer a visible path through setup.
Customers upload their historical data to test the fraud engine against the transactions that matter to them.
The diagnostic report translates the analysis into summaries and visualizations that customers can inspect.
The work covered onboarding, dashboards, risk visualizations and the foundations needed for a coherent product.
The evaluation depends on usable input. The upload experience makes problems in a file visible so customers can address them.
I designed risk visualizations and monitoring interfaces to help people investigate beyond a summary number.
I made tactical decisions about the product direction while building a shared visual foundation for the expanding experience.
The work established the product framework for understanding and investigating fraud risk.
Prospective customers can explore the fraud engine in the context of their own business.
Reports and visualizations support risk assessment and investigation workflows.
Dashboards, monitoring, alerts and case-management work formed a broader framework for fraud prevention.
