User Research and Design
This course is part of User Interface Design.
This comprehensive course teaches practical techniques for user research and early UI design exploration. Students learn various research methods including in-person research, surveys, and log analysis. The course covers how to analyze and present user research through personas, use cases, tasks, and scenarios. Students also learn ideation techniques that transform research insights into potential design solutions, making it essential for aspiring UX professionals.
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What you'll learn
Conduct effective user research using multiple methods
Design and implement research protocols ethically
Analyze qualitative and quantitative user data
Create personas and use cases from research findings
Develop scenarios and task analyses
Generate and evaluate design ideas based on research
Skills you'll gain
This course includes:
4.2 Hours PreRecorded video
3 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides comprehensive coverage of user research methods and early UI design exploration techniques. Students learn practical approaches to conducting user research through various methods including interviews, observations, surveys, and log analysis. The curriculum emphasizes translating research findings into actionable design insights through personas, use cases, and scenarios, culminating in ideation and idea selection techniques.
Preface
Module 1 · 14 Minutes to complete
User Research Methods — Part 1
Module 2 · 1 Hours to complete
User Research Methods — Part 2
Module 3 · 2 Hours to complete
Analyzing and Delivering User Research
Module 4 · 1 Hours to complete
Ideation and Idea Selection
Module 5 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: User Interface Design
Instructors
Human-Computer Interaction Expert and Geographic Computing Specialist
Dr. Brent Hecht serves as Assistant Professor of Computer Science and Engineering at the University of Minnesota, focusing on the intersection of human-computer interaction, geography, and big data. His academic credentials include a Ph.D. in Computer Science from Northwestern University, an MS in Geography from UC Santa Barbara, and dual Bachelor's degrees in Computer Science and Geography from Macalester College. Through his Coursera courses "Evaluating User Interfaces," "Introduction to UI Design," and "User Research and Design," he helps students understand the principles of user interface design and evaluation. His research examines the relationship between big data and cultural factors, particularly focusing on volunteered geographic information and location-aware technologies. His collaborations with major tech companies including Google Research, Xerox PARC, and Microsoft Research demonstrate his influence in the field. His work has earned recognition at premier conferences in human-computer interaction and geography, including ACM CHI and COSIT, while receiving coverage in major media outlets including MIT Technology Review and New Scientist.
Leading Expert in Human-Computer Interaction at the University of Minnesota
Dr. Joseph A. Konstan is a distinguished professor in the Department of Computer Science and Engineering at the University of Minnesota, where he holds the title of Distinguished McKnight University Professor and Distinguished University Teaching Professor. His extensive research focuses on human-computer interaction, particularly in the areas of recommender systems, social computing, and public health applications. Notably, his work on the GroupLens Recommender System earned him the prestigious ACM Software Systems Award in 2010.Dr. Konstan received his A.B. from Harvard University and both his M.S. and Ph.D. from the University of California, Berkeley. He is recognized for his contributions to education through various teaching awards and has delivered numerous webinars and short courses on topics such as recommender systems and ethical issues in social computing. As a Fellow of the ACM, IEEE, and AAAS, he has also served as President of ACM SIGCHI and has chaired several major conferences in the field. His courses on Coursera include "Introduction to Recommender Systems," "Evaluating User Interfaces," and "User Research and Design," aimed at equipping students with essential skills in user experience and system design.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.