COMPSTAK
Rent Predictor
Led product and design for an AI-powered rent estimation tool used by brokers, appraisers, and underwriters, built with an AI-native workflow that cut revision cycles by more than 50%.
Read MoreI combine client-facing business experience with design to build profitable enterprise features, streamline workflows with AI, and champion accessible design practices. I like to draw rectangles and eat pastries, often at the same time.
I am currently a Product Design Lead at CompStak.
Led product and design for an AI-powered rent estimation tool used by brokers, appraisers, and underwriters, built with an AI-native workflow that cut revision cycles by more than 50%.
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Surfaced high-value lease deals earlier, even before every detail was in, increasing lease comp exposure for Enterprise users by 13%.
Read MoreRedesigned CompStak’s promotions experience so the team could target incentives by market and space type, beating submission benchmarks by over 180% in 13 of 16 sectors.
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Designed a self-service path from free trial to paid plan that converted 30% of trials, so customers could buy ThankView on their own and sales could focus on larger accounts.
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Scale designs and development through standardized components and consistent style guides.
Pinpoint engaged donors and detractors by utilizing new features that give the users more insight into their data.
Incentivize users to create more ThankView campaigns by reducing the steps required to build, test, and send a campaign.