Multithread effectively and personalize outreach to convert deals faster
Elevate social presence and drive business growth from social media
Identify and prioritize high-intent leads, and improve sales effectiveness
Find and connect with ICP attendees, and improve event outcomes
Fiona Turner is an accomplished Lead UX Designer with over 12 years of experience in crafting intuitive and impactful user experiences for web and mobile applications. Currently based in Austin, Texas, she excels at translating complex user needs and business requirements into elegant and effective design solutions. Fiona is passionate about user-centered design principles, accessibility, and leveraging data to inform design decisions. She has a strong background in leading cross-functional teams, mentoring junior designers, and advocating for the user throughout the entire product development lifecycle. Her work spans across various industries, including e-commerce, SaaS, and healthcare technology.
Fiona Turner's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Led the end-to-end redesign of the ConnectApp mobile application, resulting in a 40% increase in user engagement and a 25% improvement in task completion rates. Received the 'Best Mobile UX' award at the 2022 Digital Design Awards.
Spearheaded the creation and implementation of a company-wide inclusive design system, ensuring all digital products met WCAG 2.1 AA accessibility standards. This initiative significantly broadened product reach and user satisfaction among diverse user groups.
Presented a well-received talk on 'The Future of Ethical AI in UX Design' to an audience of over 500 industry professionals, sharing insights on responsible innovation in user experience.
Established and led a mentorship program within her organization, successfully guiding and developing the skills of 15+ junior and mid-level UX designers over three years.
Open Polytechnic (NZ) - Year 2003
UCOL - Year 2001
Universal College of Learning - Year 2000
Highperformr Signals uncover buying intent and give you clear insights to target the right people at the right time — helping your sales, marketing, and GTM teams close more deals, faster.
Bitwise Agronomy specializes in AI-driven agricultural technology, providing advanced crop monitoring solutions primarily for viticulture (wine grapes) and horticulture. Their system utilizes computer vision and machine learning algorithms to analyze images captured from standard vineyard/orchard vehicles (like tractors or ATVs). This analysis provides growers with actionable insights such as yield estimation, fruit count, berry sizing, canopy density, and disease detection, enabling optimized decision-making for irrigation, pruning, harvesting, and overall farm management to improve efficiency and crop quality.
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