{"id":2297,"date":"2024-12-17T13:39:59","date_gmt":"2024-12-17T12:39:59","guid":{"rendered":"https:\/\/www.jossis.unizd.hr\/?page_id=2297"},"modified":"2025-12-19T06:52:17","modified_gmt":"2025-12-19T05:52:17","slug":"course-01-ai-powered-qualitative-research-cx-2025","status":"publish","type":"page","link":"https:\/\/www.jossis.unizd.hr\/index.php\/course-01-ai-powered-qualitative-research-cx-2025\/","title":{"rendered":"Course 01: AI-Powered Qualitative Research in Innovation & Customer Experience (2025)"},"content":{"rendered":"
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This course was held in 2025.<\/strong><\/p>\n<\/div>\n\t\t<\/div><\/div><\/div><\/div>

Info<\/span><\/h2><\/div>
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Dates:<\/strong> 18th August \u2013 29th August 2025
\nLecturer:<\/strong> Dr. Josipa Bauser
\nCourse type:<\/strong> Compulsory Optional Subject (Summer School)
\nRelated degree levels and programs:<\/strong>
\nBA in Digital Business Management (DBM), Computational and Data Science (CDS), Information Science (IS), Software Engineering (SE), Information, Media and Communication (IMC);
\nMA in User Experience and Data Visualisation (MSc UX Design), Business Process Management and Data Driven Engineering (BPMDDE).
\nWorkload:<\/strong> 120 hours
\nCredits:<\/strong> 4 ECTS<\/p>\n<\/div>\n\t\t<\/div><\/div>

Dr. Josipa Bauser<\/span><\/h2><\/div>
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\"\"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.<\/p>\n

LinkedIn: https:\/\/www.linkedin.com\/in\/josipabauser\/<\/a><\/p>\n<\/div>\n\t\t<\/div><\/div><\/div><\/div>

Synopsis<\/span><\/h2><\/div>
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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.<\/p>\n<\/div>\n\t\t<\/div><\/div><\/div><\/div>

Course goal \/ Guiding idea<\/span><\/h2><\/div>
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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.<\/p>\n<\/div>\n\t\t<\/div><\/div><\/div><\/div>

Course content<\/span><\/h2><\/div>
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