Resources

For archives and PDFs of presentations at previous conferences (Quant UX Con 2022-2024), visit the Past Conferences page here.

• Chapman, C. & Rodden, K. (2023). Quantitative User Experience Research: Informing Product Decisions by Understanding Users at Scale. Apress.

• Kohavi, R. Tang, D. & Xu, Y. (2020) Trustworthy Online Controlled Experiments: A practical guide to A/B testing. Cambridge, MA: Cambridge University Press.

• Schwarz, J. S., Chapman, C., & Feit, E. M. (2020). Python for Marketing Research and Analytics. Springer.

• Chapman, C., & Feit, E. M. (2019, 2nd ed.). R for Marketing Research and Analytics. New York, NY: Springer.

• Callegaro, M., Manfreda, K. L., & Vehovar, V. (2015). Web Survey Methodology. London: Sage. Link to Open Access PDF or ePub.

• Chapman, C. (2025) with other contributors. The Quant UX Blog.

• Xu, K. Z. (2022). What is Quantitative User Experience Research at Pinterest?. Pinterest

• Xu, K. Z. (2021). You’re a STEM major? Your dream job might be in Design. Pinterest

• Xu, K. Z. (2020). From brain science to Quantitative UX. Pinterest

• Chapman, C. (2020). Notes on Quantitative UX Research at Google.

• Au, R. (2019). How I wound up being a Quantitative UX Researcher. Towards Data Science

• Nguyen, D. M. (2018). Research that counts. Meta Research.

• Moran, K. (2018, April 22). Quantitative user-research methodologies: An overview. Nielsen Norman Group. 

• Nguyen, D. M. (2017). How Quantitative UX research differs from data analytics. Meta Research

• Rodden, K., Hutchinson, H., & Fu, X. (2010). Measuring the user experience on a large scale: User-centered metrics for web applications. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. CHI. https://doi.org/10.1145/1753326.1753687

• Pearson, C. (2025). Learn Quantitative UX Research (an annotated self-stury reading list)

• Au, R.'s blog Counting Stuff

• Keana Richards, (2021) How I got a (quantitative) user experience research internship

• Elea McDonnell Feit (co-author for Chris and Jason's R/Python for marketing research and analytics): Tutorials on various research methods and topics

• {ggstatsplot}: {ggplot2} Based Plots with Statistical Details

• The A11Y project: Accessibility design and research resources 

• Chapman, C. public archive of papers accompanying Chapman & Rodden (2023), Quantitative User Experience Research.