Prediction Edge

Prediction Edge

Election Intelligence Platform for Market-Driven Forecasting

Election Intelligence Platform for Market-Driven Forecasting

Service

Service

Strategy, UI/UX, Graphics

Strategy, UI/UX, Graphics

Role

Role

Senior UX/UI Designer

Senior UX/UI Designer

Industry

Industry

Prediction Market, Political Data Analytics

Prediction Market, Political Data Analytics

Year

Year

2026

2026

Objective

Objective

Design and launch Prediction Edge, a platform for tracking US election prediction markets in real time – presenting candidate odds, trading volume, polling trends, and fundraising data pulled from Kalshi in a clear, easy-to-follow format. The site needed to turn dense, constantly shifting political market data into something both casual and serious users could scan at a glance.

Design and launch Prediction Edge, a platform for tracking US election prediction markets in real time – presenting candidate odds, trading volume, polling trends, and fundraising data pulled from Kalshi in a clear, easy-to-follow format. The site needed to turn dense, constantly shifting political market data into something both casual and serious users could scan at a glance.

Delivery & Contribution

Delivery & Contribution

An election market intelligence platform was designed and delivered, spanning market discovery, individual race pages, trending and close races, polling trends, and fundraising leaderboards. The product needed to surface high-volume, constantly updating data across web and mobile without losing clarity or trust.

Working as part of Flatstudio, I served as the primary designer and owned the product end-to-end, from sitemap and wireframes through final UI and release. I shaped the information architecture, established the core component system (odds charts, race cards, candidate profiles, filters, leaderboards), and drove most of the key design decisions on how volatile, data-dense content could be presented in a way that stayed readable and usable at scale.

An election market intelligence platform was designed and delivered, spanning market discovery, individual race pages, trending and close races, polling trends, and fundraising leaderboards. The product needed to surface high-volume, constantly updating data across web and mobile without losing clarity or trust.

Working as part of Flatstudio, I served as the primary designer and owned the product end-to-end, from sitemap and wireframes through final UI and release. I shaped the information architecture, established the core component system (odds charts, race cards, candidate profiles, filters, leaderboards), and drove most of the key design decisions on how volatile, data-dense content could be presented in a way that stayed readable and usable at scale.