In this 6-week course, you will learn how to create, conduct, analyze, and present your quantitative survey research. We will cover essential statistical topics and tools for analyzing quantitative research data from surveys.
We begin with the basics of creating good survey questions to ensure you are collecting quality data. Then we will cover descriptive statistics as a critical tool to visualize and understand your data. You will learn how to visualize data using statistics.
Next, you will learn how quantitative data can provide evidence to support your research questions and/or validate your personas. For example, is there a statistically significant difference between conditions and/or groups? Methods covered will include t-test, ANOVA, and MaxDiff.
You will learn how to think critically about quantitative UX data and when it is important to collect quantitative data. You will create and launch a survey, you will create a competitor survey and compare the two, and you will learn how to effectively present findings to stakeholders.
Visualize data and use statistics for quantitative UX research data
Understand what “statistically significant” means and how to calculate it
Understand and explain to others what quantitative user experience research is and what it can contribute to a design effort
Course Prerequisites: none
Other Materials:
Students will use free online software to conduct analyses.
All other reading materials will be free to download .pdf texts.
Intended Audience: This short course is intended for anybody interested in quantitative UX research. Students do not need pre-existing quant experience for this course.
This short course is led by:
Jen Romano, Ph.D. is an award-winning UX Research Leader, with 15+ years experience: in industry, academia and government; as manager, director, and individual contributor; strategist and executor. Jen has made her way through some of the biggest and best UX orgs in the world (Google, Facebook, Instagram, Bridgewater Associates, Principles by Ray Dalio, Fors Marsh Group), speaking, teaching and being a keynote speaker at top UX conferences in the world (e.g., UXPA, WUC, HCII).
With small, instructor-led workshops, courses, and retreats, and personalized 1:1 coaching, Jen offers ways for people to have renewed confidence and skills to grow as a UX Researcher. Jen teaches graduate-level classes, trains UX professionals, and coaches people who want to up-level their research skills. She is passionate about training the BEST researchers in the world, and this workshop is one of many ways she is accomplishing this mission. She teaches at UC Berkeley and University of Maryland and has published more than 30 articles, chapters, and books, including Usability Testing for Survey Research, Eye Tracking in User Experience Design, and Modern Socio-Technical Perspectives on Privacy.
