Gain a comprehensive understanding of UX principles and research methods.
Enhance your design skills by learning to identify and address user pain points.
Learn how to leverage user insights to create effective and user-centered design solutions.
In this module, learners will discover the basics of UX, its evolution over time, and why centering design on user needs is critical. The module lays a foundation with context about UX design and sets the stage for more advanced research techniques later in the course. What is UX? Understanding User Needs History and Evolution of UX
This module covers an array of UX research techniques including interviews, surveys, and usability tests. It draws on frameworks popularized in books like 'Don't Make Me Think' and 'The Design of Everyday Things' to illustrate how research informs design. Learners will explore the strengths and challenges of each method to decide the best approach for different projects. Overview of UX Research Exploring Research Methods Frameworks from Popular Books
This module focuses on the qualitative aspects of UX research. Students will learn how to plan, conduct, and analyze user interviews effectively. The lessons cover communication strategies and methods to extract valuable insights from conversations, enabling designers to empathize with users and uncover underlying issues. Planning User Interviews Conducting Effective Interviews Analyzing Interview Data
This module bridges the gap between quantitative research and design insights. The first part focuses on designing and analyzing surveys to gather measurable user data. The latter section teaches how to synthesize both qualitative and quantitative data to develop effective user personas and guide design decisions. Designing Effective Surveys Analyzing Survey Data Creating User Personas Designing with Insights
Real-time chat support for inquiries and feedback.
Self-paced learning model to fit your schedule.
Interactive modules with practical applications.
Instant access to critical UX research methods.
Focus on both qualitative and quantitative data analysis.
Engage directly with your AI mentor throughout the course.