Quantitative UX research is all about understanding numerical data that explains human behavior – and it’s one of the key elements of any creating a successful user experience. Many UX professionals are intimidated by quantitative data analysis and often stick to qualitative research methods. The power of quantitative research can provide deeper insights into user behavior through analysis methods like cross-tabulation, max-diff, and conjoint analysis.
Quantitative UX research is all about understanding numerical data that explains human behavior – and it’s one of the key elements of any creating a successful user experience. Many UX professionals are intimidated by quantitative data analysis and often stick to qualitative research methods. The power of quantitative research can provide deeper insights into user behavior through analysis methods like cross-tabulation, max-diff, and conjoint analysis.
It’s difficult to turn qualitative information from research participants into quantitative data. For years, many researchers have reverted to word clouds (the “mullet of the internet” according to Jeffrey Zeldman), but author Landon LaPorte has a better recommendation: the Sentiment Score Chart.