Designed UX for the GenAI Reading Assistant Metered Access within Elsevier’s Journal Branded Solutions (JBS), an AI-powered feature that helps researchers quickly understand complex scholarly content through guided summaries, contextual insights, and structured reading workflows. The project focused on improving content discovery, reducing cognitive load, and supporting responsible AI use while aligning with publisher policies and business goals.
GenAI Metered Access
Designed the metered access experience for a GenAI Reading Assistant, introducing a credit-based model that allows non-subscribed users to explore AI features with five free credits before being guided to subscription options. Translated licensing and business requirements into clear, user-friendly workflows that balanced accessibility with content protection. This design improved onboarding, increased engagement with AI-assisted reading, and supported sustainable revenue growth by converting trial users into paid subscribers while maintaining a transparent and trustworthy user experience.