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 24’ Hanyang Intercollege New Course Introduction

 Data-Driven   Service Desig

Coming soon

   for optimal human centered experience 

Data-driven service design is an approach to designing and improving services that relies on the systematic collection, analysis, and utilization of data to inform decision-making throughout the design process. 

It combines principles of user-centered design with the use of data and analytics to create services that are more user-centric, efficient, and effective.


“Design is not just what it looks like and feels like. Design is how it works.”

Steve Jobs 

Data-Driven Service Design Process

  1. Collect and analyze data to gain insights into user behavior, preferences, and needs

  2. Understand the principles of user-centered design and apply them in service contexts

  3. Use data-driven insights to make informed decisions in the design and optimization of services

  4. Create more user-centric, efficient, and effective services that deliver better outcomes for both customers and organizations

  5. Develop practical skills through hands-on projects, case studies, and real-world examples that demonstrate the value of data-driven service design

“What’s measured gets managed. 
Numbers have an important story to tell.”

Peter Drucker 



Our Goal and Values


The Data-driven Service Design program empowers students to become holistic designers who are adept at melding strategic thinking with data analysis. This program nurtures the skills needed to excel in various roles including Product Service Designer, Service Strategy Planner, AI/UX Designer, and more. It fosters an understanding of service design, visualization, prototyping, and digital design ethics, ensuring graduates are well-prepared to innovate and lead in the evolving landscape of service design.

Data Mastery: Emphasize gathering and analyzing data to understand user preferences and behavior.
User-Focused Design: Incorporate user-centered design principles in service development.
Strategic Decision-Making: Use data insights for informed service design and optimization.
Efficiency and User-Centricity: Aim for services that are both efficient and centered around user needs.
Practical Skill Building: Engage in projects and case studies to develop real-world skills in data-driven design.



 Jieun Kim 

 Legal Design 

 Data Privacy Design 


 Jieun Han 

Product & Service Innovation

Data Visualization


 Hokyoung Ryu 

 Human AI Collaboration 

 Behavioral Economics 

Gyuhyun Kwon_edited_edited_edited.jpg

 Gyu Hyun Kwon 

 Digital Innovation Strategy 

 Value Sensitive Design 


IAB (International Advisory Board)

 Jean-Francois Omhover   Microsoft, US 
 Kunpyo Lee 
Honkong Polytech, CN 
 Soyeon Yoon 
Cornell University, US 
 Frederique Krupa 
Ecole de Design, FR 
 Brigitte Mozota   Designence, FR 
 Toinon Vigier 
University of Nantees, FR 

Course Program (2024.03~)


Prior Works

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