Property and Casualty (P&C) insurance is often synonymous with jargon-heavy forms, legacy workflows, and a trust gap with younger buyers. Rizz set out to rethink how P&C insurance could be bundled, quoted, and bound in a seamless, digital-first experience. How might we create a quoting experience that earns trust, reduces friction, and makes insurance feel less like homework?
As the lead product designer, I was responsible with shaping the core product experience at Rizz from the ground up.
Rizz Policy is a responsive digital platform that lets users find P&C insurance quotes in minutes, without the traditional paperwork or phone calls. The customer experience is built around a guided quote that is adaptive based on user input. The web app also offers a useful quote comparison function, and an AI-powered quote analysis tool that parses existing policy documents and explains current coverage. Together, these systems enable Rizz to deliver fast, transparent, and hassle-free insurance services while staying compliant with complex requirements of P&C insurance.
Onboarding, SEO, Value Proposition, and About
Quoting, Comparison, Management, and Bind
Policy Upload, Parsing, and AI-Analysis Report
Key metrics from improved quoting flow to accurate design implementation in record time.
↓ 40% ToT
Insurance quoting time on task
> 2 Months
MVP web-app pushed to live
Users can upload existing insurance policy documents (e.g. PDF, image) and the system parses and analyzes them using AI to generate a clear report, extracting coverage details, gaps, and recommendations — enabling users to compare their current policy with new quotes.
Users can upload existing insurance policy documents (e.g. PDF, image) and the system parses and analyzes them using AI to generate a clear report, extracting coverage details, gaps, and recommendations — enabling users to compare their current policy with new quotes.
The system leads users through a guided quoting flow that adapts questions based on prior inputs, minimizes friction, and provides explanations so that users understand what they’re selecting — shortening time to quote while providing available insurance offerings.
After quoting, users can bind a new policy directly in the system (i.e. complete purchase) and compare binding options side-by-side (e.g. coverage, cost, terms). This enables streamlined decision-making and transparent selection among alternative policies before committing.
After quoting, users can bind a new policy directly in the system (i.e. complete purchase) and compare binding options side-by-side (e.g. coverage, cost, terms). This enables streamlined decision-making and transparent selection among alternative policies before committing.
Feel free to reach out to me to learn more about this project, or visit the live Rizz Policy Website.