User Research Fundamentals

User Research Fundamentals

Video Training

User research—when done correctly—can reveal volumes of valuable information about where your users come from, who they are, what their needs are, and what they like and dislike. This Learning Path shows you how to conduct research to collect and measure the quantitative and qualitative data you need to design useful products. You’ll not only understand what your users do but why they do it.

Below are the video training courses included in this Learning Path.


User Research Fundamentals for Designers

Presented by Christine Perfetti 5 hours 2 minutes

Get started on the path for learning practical methods and techniques for gathering feedback and conducting your own user research projects. You will begin with an overview of UX research methods, then jump into learning how to plan a usability study. You’ll learn about usability requirements and how to moderate a usability study, analyze the data, communicate the study results, and other essential techniques for developing accurate insights into your users.


Mapping the User Experience

Presented by Jim Kalbach 3 hours 12 minutes

If you want to create products and services that provide real value, you’ll first need to identify touchpoints, the areas where business and customer needs intersect. This course will show you how to do this using various mapping techniques that turn customer observations into actionable insight for product design. Working through examples, you’ll learn about experience mapping and get practice visually mapping your existing customer experience.


A/B Testing, A Data Science Perspective

Presented by Lisa Qian 1 hour 16 minutes

Deciding whether or not to launch a new product or feature is a resource management bet for any Internet business. Conducting rigorous online A/B tests flattens the risk. In this step of your Learning Path, instructor and data scientist Lisa Qian draws on her experience at Airbnb to present a practical, ten-step guide to designing and executing statistically sound A/B tests.