Blog.

Correspondence analysis is perhaps the most widely used multivariate tool in market research. It’s our “go to” tool for displaying complex tables, such as brand…

Having collected your customer satisfaction data, it’s time to do some analysis. Here I’ve outlined four common and simple methods of analyzing your customer satisfaction…

So, you’ve created the perfect user onboarding email sequence. Congratulations! Now what? Now, it’s time to see how well it’s doing! There are many, many…

Modern conjoint analysis methods estimate both the utilities of people, and also how much certainty we have about these estimates. Consequently, analyses of the resulting…

A problem with R is that its tables are not good enough to share with non-R users, both in terms of visual attractiveness and ease…

This post introduces the key concepts in designing experiments for choice-based conjoint analysis (also known as choice modeling). I use a simple example to describe…

While choice-based conjoint analysis represents one of the more sophisticated techniques used in market research, presentation of its results commonly consists only of a simulator,…

Modern tools for analyzing conjoint analysis, such as hierarchical Bayes, produce rich data showing preferences for each person in a market. The main deliverable from…

Indifference curves are a way of showing relative preferences for quantities of two things (e.g., preferences for price versus delivery times for fast food). This…

Working out the sample size required for a choice-based conjoint study is a mixture of art and science. What makes it tricky is that the…