Resources

Past Proceedings

Proceedings of the 2022 Quantitative User Experience Conference (Quant UX Con 2022). Sunnyvale, CA June 8-9, 2022. Complete PDF is available for free here (large: 538 pages, 90MB) or browse the Table of Contents and find individual files here.

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
Nguyen, D. M. (2017). How Quantitative UX research differs from data analytics. Meta Research
Nguyen, D. M. (2018). Research that counts. Meta Research.
Moran, K. (2018, April 22). Quantitative user-research methodologies: An overview. Nielsen Norman Group.
Au, R. (2019). How I wound up being a Quantitative UX Researcher. Towards Data Science
Chapman, C. (2020). Notes on Quantitative UX research at Google.
Xu, K. Z. (2020). From brain science to Quantitative UX. Pinterest
Xu, K. Z. (2021). You’re a STEM major? Your dream job might be in Design. Pinterest
Xu, K. Z. (2022). What is Quantitative User Experience Research at Pinterest?. Pinterest

Callegaro, M., Manfreda, K. L., & Vehovar, V. (2015). Web survey methodology. London: Sage. Link to Open Access PDF or ePub
Chapman, C., & Feit, E. M. (2019, 2nd ed.). R for marketing research and analytics. New York, NY: Springer.
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 Nature.