This course will be held in 2025.

Info

Dates: 18th August – 29th August 2025
Lecturer: Dr. Josipa Bauser
Course type: Compulsory Optional Subject (Summer School)
Related degree levels and programs:
BA in Digital Business Management (DBM), Computational and Data Science (CDS), Information Science (IS), Software Engineering (SE), Information, Media and Communication (IMC);
MA in User Experience and Data Visualisation (MSc UX Design), Business Process Management and Data Driven Engineering (BPMDDE).
Workload: 120 hours
Credits: 4 ECTS

Dr. Josipa Bauser

Dr. Josipa Bauser is a user research leader with over 15 years of experience working with global companies such as Amazon and SumUp. She specialises in building research practices that inform product strategy and design decisions. With a PhD in Information Science and Learning Technologies from the University of Missouri, she now teaches at IE Business School in Madrid, helping students apply research to real-world digital product development.

LinkedIn: https://www.linkedin.com/in/josipabauser/

Synopsis

In this course, students will learn how to utilise AI tools to collect, analyse, and visualise qualitative data to drive innovation and enhance customer experience.

Course goal / Guiding idea

To provide students with the knowledge and tools to integrate AI into qualitative research, enabling them to uncover actionable insights, improve customer experience strategies, and drive innovation in product development.

Course content

  • Introduction to Digital Product Lifecycle
  • Introduction to AI in Qualitative Research
  • AI Tools and Techniques for Data Collection and Analysis
  • Customer Feedback and Journey Mapping
  • Data Visualisation and Storytelling
  • Ethical Considerations in AI Research
  • Practical Group Project

Learning outcomes

  • Apply AI tools to collect and analyse qualitative data.
  • Extract actionable insights for customer experience and innovation.
  • Visualise and communicate findings effectively to stakeholders.
  • Understand and address ethical considerations in AI research.

Course readings

TBA

Course schedule and location

  • Venue: University of Zadar, SEP Building, Š. Vitasovića 1, 23000 Zadar
  • Lecture room: SEP01
  • Schedule: Monday to Friday, from 9:00 to 16:00 (daily lectures)