UX Foundations: Research

Course details

UX research helps a business through saving development or process costs, increasing customer happiness and loyalty, and uncovering opportunities to earn more. In this course, Amanda Stockwell shows you practical techniques to improve your UX research to better inform fast-moving projects. Get an overview of different types of research methodologies, usability tests, and conducting interviews. Review card sorts, eye tracking, multivariate testing, and desirability testing. Go over the best uses of expert reviews, surveys, diary studies, participatory design workshops, and personas. Learn how to choose the right research method for your goals, then dive into environmental considerations, such as in-house vs. external, agile vs. waterfall, and more. Find out how to plan and execute effective research, and then explore the best ways to analyze and present your findings.

Concepts

0. Introduction

01 - User experience research

1. Research Overview

02 - Why is user experience research important
03 - Methodology overview
04 - Usability testing
05 - Interviewing
06 - Card sorts
07 - Eye tracking
08 - Multivariate testing and A B testing
09 - Desirability studies
10 - Expert reviews (heuristic reviews)
11 - Surveys
12 - Diary studies
13 - Participatory design workshops
14 - Personas

2. Choosing the Right Research Method

15 - Setting research goals
16 - Qualitative vs. quantitative data
17 - Behavioral vs. attitudinal research
18 - Moderated vs. unmoderated research

3. Environmental Considerations

19 - In-house vs. external
20 - Agile vs. waterfall
21 - Determining project or product stage

4. Planning Effective Research

22 - Determining the right participants
23 - Finding and screening participants
24 - Scheduling participants
25 - Crafting the right questions
26 - Practicing

5. Executing Effective Research

27 - Applying moderated research
28 - Applying unmoderated research

6. Analyzing and Presenting Your Findings

29 - Gathering and mining data
30 - Synthesizing data
31 - Presenting and incorporating results

Conclusion

32 - Next steps