Team sprint4-day team sprint· 2026
AIgis
Fraud signals a non-analyst can read at a glance
Problem
Risk data was readable only by specialists; stakeholders needed to spot suspicious activity without training.
My role
Designed the dashboard interface and built reusable React components and the front-end structure.
Outcome
A working dashboard with risk breakdowns, alert volume charts, search and filtering, on a React front end and a Node/Express back end.
- Role
- UX/UI Designer & Front-End Developer
- Team
- Cross-functional BrainStation team
- Timeline
- 4 days
- Tools
- Figma, React, JavaScript, SCSS, Node.js, Express
- UX/UI
- Development
Note. A team project from a BrainStation 4-day cross-collaboration sprint. The contributions listed here are mine; full team credits are being added. The demo uses sample data.
1. What I did
- Dashboard interface. Turned fraud and risk data into a visual system of charts, alerts and breakdowns.
- Reusable React components. Analytics cards and data views, so new metrics could be added without rebuilding the layout.
- Front-end architecture. Structured UI modules to scale as the dashboard’s data needs grew.
- Search and filtering. So users can isolate specific transactions or risk categories quickly.
- Clarity for non-specialists. Hierarchy and labelling chosen so stakeholders can read risk without training.
Next projectAnchorline: The Access GapA buyer’s own numbers, turned into a case their CFO will read