UX Research at Scale: Surveys, Analytics, Online Testing (Coursera)

UX Research at Scale: Surveys, Analytics, Online Testing (Coursera)

This UX course will provide an overview of survey methodology from the perspective of UX research. UX surveys typically focus on uncovering user needs, connecting needs to user characteristics, and gaining insight into user attitudes towards systems they use. In this course, learners will learn the basics of UX survey research and conduct a survey of their own design!

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Learners will be introduced to techniques for gaining UX insights from large numbers of users, including web analytics, A/B testing, and remote unmoderated studies. We will discuss how these techniques work, when they can be applied, and what can be learned by using them.

What You’ll Learn:
-Learn how web analytics works and how to analyze analytics data
-Understand how to develop A-B tests, before/after, and multivariate experiments
-Learn how to set up and analyze remote unmoderated testing studies
-Analyze and report on large scale user experience studies Learn about the different types and uses of surveys in UX research
-Understand the survey population: when to sample, when to recruit
-Develop a survey instrument that meets your requirements
-Analyze and report on surveys
-Learn to critique user surveys

Course 5 of 6 in the User Experience Research and Design Specialization.

Syllabus

WEEK 1: When and How to Use Surveys
WEEK 2: Asking the Right People (Coverage Error)
WEEK 3: Getting Answers (Nonresponse error)
WEEK 4: Writing Questions (Measurement Error)
WEEK 5: About Research at Scale
WEEK 6: Behavioral Analytics
WEEK 7: Remote Testing
WEEK 8: A/B Testing and Preference Testing

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Understanding China, 1700-2000: A Data Analytic Approach, Part 1 (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Understanding China, 1700-2000: A Data Analytic Approach, Part 1 (Coursera)

The purpose of this course is to summarize new directions in Chinese history and social science produced by the creation and analysis of big historical datasets based on newly opened Chinese archival holdings, and to organize this knowledge in a framework that encourages learning about China in comparative perspective. Our course demonstrates how a new scholarship of discovery is redefining what is singular about modern China and modern Chinese history.

Aug 31st 2026
5-12 Weeks
Dataplex by Google Cloud (Coursera) Coursera
Board Infinity

Dataplex by Google Cloud (Coursera)

Welcome to "Dataplex By Google Cloud " a comprehensive course designed to provide a thorough understanding of Google Cloud Dataplex, a platform for managing, monitoring, and analyzing data across various data systems in Google Cloud. Spanning two modules, the course begins with the fundamentals of Dataplex, including its setup, configuration, and basic functionalities.

Sep 14th 2026
2 Weeks
Introduction to Accounting Data Analytics and Visualization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Introduction to Accounting Data Analytics and Visualization (Coursera)

Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R.

Sep 7th 2026
5-12 Weeks
Survey analysis to Gain Marketing Insights (Coursera) Coursera
Emory University

Survey analysis to Gain Marketing Insights (Coursera)

How do consumers see your brand relative to your competitors? How should a new product be positioned when it’s launched? Which customer segments are most interested in our current offerings? For these questions and many others, surveys remain the tried and true method for gaining marketing insights. From one-off customer satisfaction surveys to brand tracking surveys that are administered on a continuous basis, they provide the information that marketers need to understand how their products, services and brands are seen by consumers.

Aug 31st 2026
4 Weeks
Accounting Data Analytics with Python (Coursera) Coursera
University of Illinois at Urbana-Champaign

Accounting Data Analytics with Python (Coursera)

This course focuses on developing Python skills for assembling business data. It will cover some of the same material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data).

Sep 14th 2026
5-12 Weeks
AWS Cloud Practitioner Essentials (Coursera) Coursera
AWS

AWS Cloud Practitioner Essentials (Coursera)

Welcome to AWS Cloud Practitioner Essentials. If you’re new to the cloud, whether you’re in a technical or non-technical role such as finance, legal, sales, marketing, this course will provide you with an understand of fundamental AWS Cloud concepts to help you gain confidence to contribute to your organization’s cloud initiatives. This course is also the starting point to prepare for your AWS Certified Cloud Practitioner certification whenever it’s convenient for you.

Sep 7th 2026
5-12 Weeks
Framework for Data Collection and Analysis (Coursera) Coursera
University of Maryland, College Park

Framework for Data Collection and Analysis (Coursera)

This course will provide you with an overview over existing data products and a good understanding of the data collection landscape. With the help of various examples you will learn how to identify which data sources likely matches your research question, how to turn your research question into measurable pieces, and how to think about an analysis plan.

Aug 31st 2026
4 Weeks
Ethical Social Media (Coursera) Coursera
The University of Sydney

Ethical Social Media (Coursera)

Social media connects us across space and time, allowing us to find like-minded communities and participate creatively in public life as never before. We may often use social media without thinking much about the possible consequences. But there is a shadow side associated with social media use, which takes the form of hate speech, increased surveillance, lack of anonymity and questionable use of our data. What do we need to know to use social media spaces effectively, in a way that is safe and productive for all?

Sep 7th 2026
5-12 Weeks
Data Analytics for Lean Six Sigma (Coursera) Coursera
University of Amsterdam

Data Analytics for Lean Six Sigma (Coursera)

Welcome to this course on Data Analytics for Lean Six Sigma. In this course you will learn data analytics techniques that are typically useful within Lean Six Sigma improvement projects. At the end of this course you are able to analyse and interpret data gathered within such a project. You will be able to use Minitab to analyse the data. I will also briefly explain what Lean Six Sigma is.

Aug 31st 2026
5-12 Weeks
MySQL for Data Analytics and Business Intelligence (Coursera) Coursera
Edureka

MySQL for Data Analytics and Business Intelligence (Coursera)

Embark on a thorough educational expedition through the "Fundamentals of Database Management with MySQL" module. This foundational program aims to impart a robust comprehension of MySQL, a prominent Relational Database Management System (RDBMS). Participants will delve into crucial concepts, ranging from the fundamentals of SQL to more advanced topics like data retrieval, relationships, business intelligence, and data visualization.

Sep 7th 2026
1 Week