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Nadine Pesonen is an accomplished User Experience (UX) Designer and Researcher with a strong passion for creating human-centered and impactful digital solutions. She has a proven track record in leading design processes, from initial user research and concept ideation through to prototyping, testing, and final implementation. Nadine is known for her empathetic approach to understanding user needs and translating complex problems into intuitive and engaging user interfaces. She often emphasizes collaborative work environments and is skilled in facilitating workshops and communicating design decisions effectively to cross-functional teams and stakeholders. Her work often revolves around service design, digital transformation, and fostering innovation through design thinking methodologies.
Nadine Pesonen's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Frequently invited to speak at various design and technology conferences (e.g., UXDX, GOTO Berlin, etc.) sharing insights on user experience, service design, and human-centered AI.
Held significant design leadership roles at prominent technology and design consultancies, driving UX strategy and execution for diverse clients and projects.
Actively promotes and contributes to discussions and practices around ethical considerations in AI and inclusive design principles within the tech community.
Authored articles and blog posts on UX design, research methodologies, and the future of technology, contributing to industry knowledge.
The George Washington University, Washington DC, USA - Year 2000
The George Washington University - Year 1998
ENSEEIHT - Year 1995
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.
Quanturi Oy specializes in developing and providing advanced IoT-based monitoring solutions, primarily focused on agriculture. Their systems enable real-time tracking of grain storage conditions (temperature, moisture) to prevent spoilage, optimize quality, and enhance food safety for farmers and agribusinesses. They aim to reduce food waste and improve operational efficiency through data-driven insights.
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