Risk prediction unique as you
Risk prediction unique as you
Creative direction: Ajia Wallace
Project manager: Paola Cárdenas
Content strategist: Jessica McDaniel
Lead designer: Marcin Dmoch
What We Did
Did you know that insurance companies decide how risky you are based on broad generalizations and sparse personal information? At least that was the case until Verikai came along with its Machine Learning and behavioral data-powered risk analytics, helping the insured get the right rates and helping underwriters get accurate predictions. We were happy to redesign their site to better communicate the groundbreaking work Verikai is bringing to the health insurance industry.
Post launch results
At a Glance
Diverse representation
With Verikai, our goal was to reflect the depth of their product while centering diversity and clarity. We chose portrait photography and illustrative styles that reinforce the individuality behind risk data and the innovation behind Verikai’s behavior-driven predictions. The new design includes floating “behavior bubbles” to hint at the layered data beneath the platform. These visuals, paired with a bold brand system, help demystify complex concepts and bring their fresh identity to life.
Just as important as the visuals was how we spoke to Verikai’s two core audiences: underwriters and brokers. Each group has its own concerns and language, so we guided users to relevant content quickly—right after spotlighting shared goals like improved loss ratios and profitability. We even built in a self-identification step for demo requests, so Verikai’s team can tailor each interaction. The new site brings together distinct styles, audiences, and messages into a cohesive, intuitive experience—and with tools like Hotjar in place, we’re continuing to refine it based on real behavior.
