SigmaSight — Trial Risk & Negotiation Analytics Platform

problem

SigmaSight gives insurance defense teams AI-powered trial-risk analytics and negotiation tools to counter the data advantage plaintiff attorneys have built over the last decade. When I joined as the company's first product designer, the platform existed as an early MVP: the core product was a series of forms and CSV downloads. There was no design system, no established interaction patterns, and the information architecture hadn't been designed to scale past the first few use cases.

process

Working in direct partnership with the CEO and CPO, I set the product vision and strategic design priorities for the platform. I led user research with [describe who you talked to — claims adjusters? defense attorneys? both?] to understand how legal and insurance professionals actually evaluate case risk and prepare negotiation strategy, then used those findings to establish the platform's core information architecture from the ground up — defining how case data, risk scoring, and negotiation tools would relate to each other across the product.

In parallel, I built the design system: [name 2–3 concrete components or patterns you standardized — e.g., data visualization components for risk scores, a shared pattern for case comparison tables]. This gave engineering a consistent set of patterns to build against as the platform scaled from a single-workflow MVP to a multi-feature product.

outcome

The interaction design and IA I established became the foundation the platform has scaled on through [X] iterative releases. The design system is still the standard pattern library used across the organization today.