Data-Driven Design: Quantitative Research for UX
How This Course Will Help Your Career
What You Will Learn
What quantitative research is and how it differs from qualitative
Why quantitative research is important
Alternatives to quantitative methods
Simple statistical analysis
Quantitative methods in detail: surveys, early-design testing, web/app analytics and A/B testing
Participant recruitment and screening
Quantitative research is about understanding user behavior at scale. In most cases the methods we’ll discuss are complementary to the qualitative approaches more commonly employed in user experience. In this course you’ll learn what quantitative methods have to offer and how they can help paint a broader picture of your users’ experience of the solutions you provide—typically websites and apps.
Since quantitative methods are focused on numerical results, we’ll also be covering statistical analysis at a basic level. You don’t need any prior knowledge or experience of statistics, and we won’t be threatening you with mathematical formulas. The approach here is very practical, and we’ll be relying instead on the numerous free tools available for analysis using some of the most common statistical methods.
In the “Build Your Portfolio: Research Data Project”, you’ll find a series of practical exercises that will give you first-hand experience of the methods we’ll cover. If you want to complete these optional exercises, you’ll create a series of case studies for your portfolio which you can show your future employer or freelance customers.
Your instructor is William Hudson. He’s been active in interactive software development for around 50 years and HCI/User Experience for 30. He has been primarily a freelance consultant but also an author, reviewer and instructor in software development and user-centered design.
You earn a verifiable and industry-trusted Course Certificate once you’ve completed the course. You can highlight it on your resume, your LinkedIn profile or your website.
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Is this course right for you?
This is a beginner-level course for anyone who wants to understand and apply quantitative research in user experience settings. This course is particularly valuable for:
- User researchers and UX practitioners interested in gaining insight into user behavior at scale.
- Project managers and stakeholders who want to help their team to understand the full range of research tools available to them.
- Stakeholders who are keen to get involved in and manage the creative process of developing a new product or service.
- Entrepreneurs looking to use quantitative insights to develop products that fit the market and users’ lives.
- Anyone who is interested finding out more about how users and interactive systems behave in actual use.
Learn and work with a global community of designers
When you take part in this course, you’ll join a global community and work together to improve your skills and career opportunities. Connect with helpful peers and make friends with like-minded individuals as you push deeper into the exciting and booming industry of creativity and design. You will have the opportunity to share ideas, learn from your fellow course participants and enjoy the social aspects afforded by our open and friendly forum.
Lessons in This Course
- Each week, one lesson becomes available.
- There's no time limit to finish a course. Lessons have no deadlines.
- Estimated learning time: 28 hours 1 min spread over 9 weeks .
Lesson 0: Welcome and Introduction
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0.1: Welcome and Introduction (39 mins)
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0.2: Let Our Community Help You (1 min)
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0.3: How to Earn Your Course Certificate (16 mins)
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0.4: Expand Your Network and Grow Your Skills in Our Online Forums (5 mins)
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0.5: Meet and learn from design professionals in your area (1 min)
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0.6: Gain Timeless Skills Through Courses from the Interaction Design Foundation (21 mins)
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0.7: Mandatory vs. Optional Lesson Items (7 mins)
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0.8: A Mix Between Video-Based and Text-Based Lesson Content (6 mins)
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0.9: Build Your Portfolio: Design Data Project (7 mins)
Lesson 1: Why Design with Data?
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1.1: Welcome and Introduction (6 mins)
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1.2: Introducing Quantitative Research Methods (17 mins)
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1.3: How to Fit Quantitative Research into the Project Lifecycle (16 mins)
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1.4: Qualitative and Quantitative Research – What’s the Difference? (15 mins)
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1.5: Why Do Triangulation in User Research? (10 mins)
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1.6: Why Care about Statistical Significance? (17 mins)
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1.7: Pitfalls in Recruiting Participants for User Research (24 mins)
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1.8: How to Screen Research Participants (11 mins)
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1.9: Community-based learning and networking (6 mins)
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1.10: Congratulations and Recap (10 mins)
Lesson 2: Statistics
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2.1: Welcome and Introduction (6 mins)
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2.2: Basic Statistics (33 mins)
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2.3: Does Usability Follow a Normal Distribution? (21 mins)
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2.4: Parametric vs Non-Parametric Statistics (27 mins)
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2.5: Data Types (23 mins)
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2.6: Hypothesis Testing (22 mins)
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2.7: How to Choose a Statistical Test (24 mins)
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2.8: How to Use Statistical Tests (17 mins)
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2.9: How to Use Tests for Categorical Data (18 mins)
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2.10: Using Percentages in Categorical Tests (12 mins)
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2.11: Likert Scale Case Study (26 mins)
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2.12: What Is Sampling in Data Analytics? (37 mins)
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2.13: Correlation in User Experience (18 mins)
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2.14: Effect Size and Power in Statistics (11 mins)
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2.15: Confidence Intervals (12 mins)
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2.16: Community-based learning and networking (6 mins)
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2.17: Congratulations and Recap (31 mins)
Lesson 3: Surveys
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3.1: Welcome and Introduction (18 mins)
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3.2: Why and When to Use Surveys (17 mins)
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3.3: How to Get Started with Surveys (31 mins)
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3.4: Writing Good Questions for Surveys (28 mins)
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3.5: Survey Bias (17 mins)
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3.6: General Tips on Surveys (20 mins)
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3.7: Ensuring Quality (30 mins)
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3.8: Standardized Usability Questionnaires (21 mins)
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3.9: Data Analysis and Significance in Surveys (29 mins)
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3.10: Build your Portfolio Project: User Survey (7 mins)
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3.11: Congratulations and Recap (31 mins)
Lesson 4: Early-Design Testing
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4.1: Welcome and Introduction (5 mins)
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4.2: Early-Design Testing (21 mins)
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4.3: Getting Started with Early-Design Tests (35 mins)
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4.4: Tree Testing (15 mins)
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4.5: First-Click Testing (17 mins)
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4.6: Ensuring Quality in Early-Design Tests (25 mins)
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4.7: Data Analysis and Significance in Early-Design Tests (30 mins)
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4.8: Tree-Testing Research Example (27 mins)
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4.9: Build your Portfolio Project: Early-Design Testing (15 mins)
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4.10: Community-based learning and networking (6 mins)
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4.11: Congratulations and Recap (31 mins)
Lesson 5: Web and App Analytics
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5.1: Welcome and Introduction (5 mins)
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5.2: Analytics Data Types (16 mins)
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5.3: When and Why to Use Analytics (23 mins)
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5.4: Analytics and User Experience (13 mins)
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5.5: The Mechanics of Analytics (39 mins)
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5.6: Metric Categories in Analytics (22 mins)
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5.7: Web Analytics Process (9 mins)
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5.8: Identifying Key Stakeholders (18 mins)
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5.9: Defining Primary Goals (35 mins)
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5.10: Identifying the Most Important Site Visitors (38 mins)
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5.11: Paths Through a Site (25 mins)
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5.12: Determine KPIs (13 mins)
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5.13: Ad Hoc Analyses (42 mins)
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5.14: Analytics in the organization (19 mins)
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5.15: Advanced Analytics (25 mins)
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5.16: Data analysis case study: IxDF (1 hour 10 mins)
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5.17: Congratulations and Recap (6 mins)
Lesson 6: A/B and Multivariate Testing
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6.1: Welcome and Introduction (5 mins)
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6.2: Getting Started (39 mins)
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6.3: What to Test (26 mins)
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6.4: What’s Involved (35 mins)
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6.5: An A/B Test Example (25 mins)
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6.6: Redirect and Multivariate Test Examples (31 mins)
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6.7: A/B and Multivariate Case Studies (41 mins)
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6.8: Build your Portfolio Project: A/B and Multivariate Testing (15 mins)
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6.9: Congratulations and Recap (31 mins)
Lesson 7: Course Certificate, Final Networking, and Course Wrap-up
Learning Paths
This course is part of 3 learning paths:
How Others Have Benefited
Louiselle Morand Salvo, Switzerland
“Very well structured (overall syllabus + individual lessons), useful tools, and very precise information. The feedback on the questions is detailed; I'm impressed by the work done by the teacher!”
Andrea Wilkins, United Kingdom
“The instructor is an incredible teacher. He was so engaging and felt so relaxed throughout. You can tell he's done this before. I could listen to him teach all day.”
Norman Laborde, Puerto Rico
“William explained complex concepts in a way that was approachable. The resources he offered were valuable and I have a good list of new books and bookmarks that resulted from the course.”
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