Introduction In today's dynamic digital landscape, organizations spanning diverse sectors face an ongoing challenge: the continuous enhancement of user experience (UX) and innovation in their digital products and services.This thesis proposal presents a dynamic framework that seamlessly merges user-centred design principles with data-driven insights, enhanced by machine learning, with a sharp focus on elevating UX and stimulating product innovation.This proposal outlines an adaptable framework designed to empower companies seeking to enrich the user experience and drive innovation in their digital products and services. It responds to the ever-evolving demands and expectations of users, aligns with data-driven innovation, and ensures digital offerings remain effective, user-friendly, and agile in the ever-shifting digital environment.ObjectivesEnhancing User Satisfaction and Usability: This research is dedicated to enhancing UX by comprehending and addressing user needs and challenges through user-centered design principles.Fostering Product Innovation: By incorporating data-driven insights enhanced by machine learning, the proposal aims to promote innovation in digital product design, enabling organizations to stay at the forefront of technological advancements and evolving user expectations.Optimizing Decision-Making: The research champions the integration of data-driven decision-making enriched by machine learning to ensure that design choices are firmly rooted in empirical evidence, thereby maximizing design process efficiency.Methods and methodologyThis research will employ a mixed-methods approach, combining both qualitative and quantitative research methods to achieve the stated objectives. The primary focus of this methodology is to enhance user satisfaction and usability, foster product innovation, and optimize decision-making in the realm of digital products and services. Qualitative Methods:Qualitative methods will be instrumental in gaining in-depth insights into user experiences and pain points. User interviews, focus groups, and diary studies will be conducted to understand the emotional and contextual aspects of user interactions with digital products. These methods will provide a deeper understanding of user needs and challenges, contributing to the enhancement of user satisfaction and usability.Quantitative Methods:Quantitative methods will play a crucial role in quantifying user preferences, assessing design variations, and measuring the impact of UX improvements. Surveys, A/B testing, and data analysis will be used to collect and analyze numerical data, offering a structured and systematic approach to decision-making. These methods will support the objective of fostering product innovation by providing empirical evidence and insights.Machine Learning and Data Analysis:In addition to traditional research methods, machine learning and data analysis techniques will be incorporated to extract patterns and insights from large datasets. Machine learning algorithms will assist in identifying hidden trends and opportunities that can further drive product innovation. Data-driven insights will inform design choices and contribute to data-driven decision-making, aligning with the third objective.Literature ReviewThe literature review will encompass comprehensive studies in the fields of:User-centred designHuman-computer interactionUX designProduct designThe role of data in design and decision-makingIt will focus on examining the significance of:User-centred design principles in enhancing user experiences and usability across diverse industries and organizationsThe application of machine learning in data-driven design choicesIts role in fostering innovation within digital product and service developmentThe literature review aims to provide a strong foundation for the proposed research by delving into the principles, strategies, and real-world applications that underlie the fusion of UX design and data-driven insights.Expected OutcomesThe research endeavors to produce outcomes with a clear focus on:Specific design recommendations tailored to individual organizations and industriesA keen emphasis on enhancing user experience and fostering innovationOptimization of decision-making processes in the domain of digital products and servicesThese outcomes will be grounded in:User-centered design principles to enhance usability and UXIntegration of data-driven insights to foster innovationEmpirical evidence to maximize the efficiency of design processesThe proposed outcomes aim to provide actionable guidance for organizations across various sectors, ensuring that their digital offerings are not only user-friendly but also adaptive to the ever-evolving digital landscape, ultimately promoting the delivery of effective, user-centric, and innovative digital products and services.

" Our research aims to provide companies with tangible benefits by improving their digital products and services. If you choose to collaborate with us, you can expect several advantages: Enhanced User Experience: We'll help you optimize the usability and satisfaction of your digital products, making them more user-friendly and engaging. Data-Driven Innovation: Our research promotes the use of data-driven insights to fuel innovation in your digital product design. This approach keeps you at the forefront of technology and user expectations. Informed Decision-Making: We'll enable you to make design choices backed by empirical evidence, increasing the efficiency of your design processes. These practical benefits are rooted in our commitment to making real contributions in the field of Human-Centric Informatics and delivering results that matter to companies like yours. "

" As a group, we find this specific topic intriguing due to its inherent relevance and potential for significant impact. User experience (UX) and product design are pivotal aspects of the digital landscape in today's world. The integration of user-centered design principles and data-driven insights not only aligns with current industry trends but also addresses a critical need for companies seeking to stay competitive and relevant. We chose this topic because it represents the intersection of human-centered design and empirical data, creating a compelling synergy. By enhancing user experiences through data-informed design, we can drive innovation, improve product quality, and optimize decision-making processes. This topic excites us because it empowers us to contribute to the evolution of digital products and services, ensuring they cater to the needs and preferences of users. Moreover, this research offers the potential to bring about positive change by making digital interactions more intuitive, efficient, and enjoyable for users. We are motivated by the prospect of making a tangible impact on how individuals interact with technology in their daily lives, and we believe this topic offers a promising avenue to do so.     "

"As fellow students pursuing our Master's degree in Human-Centric Informatics (Information Studies) at Aalborg University in Copenhagen, we are driven by our shared curiosity and commitment to understanding the intricacies of data, design, and technology. Frederik's interest in data analysis and Enric's focus on user experience and product design have brought us together on this academic journey. We aspire to make meaningful contributions in our respective domains by exploring how data-driven insights can enhance user satisfaction and usability. With our collective enthusiasm for learning, we are excited to embark on this research endeavor to further our understanding of these crucial aspects of digital product design."