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21 to 24 May 2024 Lisbon, Portugal

Nick Fine

Principal UX Research Consultant and Strategist at Adaptavist

Dr. Nick Fine stands at the forefront of user experience research and design, blending a deep-rooted passion for psychology with cutting-edge human-computer interaction (HCI) expertise. With a career spanning over two decades, Dr. Fine has carved a niche for himself as an innovator and thought leader in the digital domain. His academic credentials include a BSc in Psychology and advanced degrees in HCI, culminating in a PhD earned in 2009 with his pioneering thesis on "Personalising Interaction Using User Interface Skins." This work notably advanced the field by linking personality types with user interface preferences through novel analyses of keyboard and mouse usage.

Dr. Fine's professional journey is distinguished by his ability to adapt rigorous academic research methodologies to solve complex commercial challenges. His expertise has been instrumental in the successful delivery of high-stakes projects across various sectors, including air traffic control systems, financial platforms, and pharmaceutical research and development. His role as lead UX on projects for globally recognized brands such as Coca Cola, SAB Miller, Jaguar Land Rover, Bentley, EY, Novartis, GlaxoSmithKline, BT, Virgin Media, Camelot, and notable government departments, underscores his ability to drive transformative user experiences at scale.

As the founder of UX Psychology, Dr. Fine is dedicated to harnessing psychological insights to inform and enhance user experience design. His work in behavioural personalisation, personality psychology, conversion rate optimisation, and remote user testing has set new benchmarks in the field, demonstrating the potent synergy between psychology and technology.

Beyond his professional achievements, Dr. Fine is a charismatic speaker, sharing his wealth of knowledge and insights at industry conferences and on LinkedIn. His contributions extend to his current role as Principal User Researcher and Strategist for the Adaptavist Group, where he continues to shape the future of UX through strategic innovation.

In addition to his professional pursuits, Dr. Fine is committed to enriching the UX community through educational initiatives, including the authoring of a forthcoming UX handbook. His personal interests, such as drumming and wild camping, reflect a dynamic individual who embraces both creativity and exploration in all facets of life.

Thu 23 May
14:00
Auditorium III
workshop

Unlock the Power of AI in User Research

Introducing AISUR (AI Supported User Research), a groundbreaking model crafted by Dr. Fine to revolutionise the way you leverage AI in your user research analysis workflow.

In this immersive and participatory workshop, you will embark on a journey through the intricacies of AI-enhanced transcript analysis, learning the art of using prompts that significantly improve the validity of AI-generated insights. Dr. Fine will share his personal methodologies and the carefully developed prompts he uses in his own research, offering you a rare glimpse into the practices of a seasoned expert.

Key Takeaways:

Master AISUR: Gain an in-depth understanding of the AISUR model and how it can be seamlessly integrated into your user research workflow.

Expert Insights: Learn directly from Dr. Nick Fine, who will share his extensive knowledge and firsthand experiences in using AI to enhance user research.

Practical Skills: Acquire practical skills in AI transcript analysis, including prompts and custom instructions to ensure the best chances of reliability and validity of the output.

Dynamic Content: Stay ahead of the curve with content that evolves alongside AI technology, ensuring you're always equipped with the most current practices.

This workshop is an essential experience for user researchers seeking to harness the power of AI in their work. Whether you're looking to refine your analysis techniques or explore new frontiers in user research, this workshop will provide you with the knowledge, skills, and insights needed to thrive in an AI-enhanced research landscape.