Megan Henning is a highly experienced and passionate design leader and user experience (UX) professional with over a decade dedicated to creating intuitive, engaging, and impactful digital products. She specializes in user-centered design methodologies, leading cross-functional teams, and translating complex user needs and business requirements into elegant and effective solutions. Megan has a strong background in user research, interaction design, information architecture, and usability testing. She is adept at fostering collaborative environments and mentoring design talent, consistently driving innovation and advocating for the user at every stage of the product development lifecycle. Her work spans various industries, focusing on delivering seamless experiences that meet both user needs and strategic business objectives.
Megan Henning's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Successfully led the end-to-end redesign of a flagship product, resulting in a 25% improvement in user satisfaction scores and a 15% increase in task completion rates by implementing a data-driven, user-centric design process.
Championed, developed, and implemented a comprehensive design system that standardized UI components and UX patterns across multiple product lines, significantly improving design consistency, development efficiency, and brand coherence.
Delivered a keynote presentation on 'The Future of Ethical AI in UX Design' at a prominent international UX conference, sharing insights and fostering discussion among industry peers.
Initiated and led a mentorship program for junior and mid-level designers within her organization, fostering skill development, career growth, and a stronger design culture, impacting over 30 designers.
University of Minnesota-Twin Cities - Year 2007
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Flywheel is a leading biomedical research data platform, powering innovation for life sciences, clinical, and academic organizations. It provides a comprehensive solution for curating, managing, sharing, and analyzing large-scale biomedical data, including imaging and multi-omic datasets. Flywheel accelerates research and collaboration by enabling secure data access, reproducible scientific workflows, and AI development, ultimately aiming to improve healthcare outcomes.
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