Matrix reloaded: impact of matrix question length and attribute complexity

Posted on: October 16, 2020

Katherine Stolin [1], Charles Kennedy [2], Rastislav Ivanic, PhD [3] Abstract  In our earlier paper on the topic of matrix questions, we explored findings from two parallel studies using alternative formatting of a matrix question. In that data, we found evidence that the traditional table format of a matrix question resulted in a small but statistically significant drift of mean scores toward the middle of the answer scale. To confirm this finding, we have conducted a

IdeaCluster™ – the fastest way to build a story from open-ended data

Posted on: October 12, 2020

One limiting factor in using survey data from open-ended questions is understanding the relationships between various free-text answers. When survey respondents provide their natural language responses by typing their answer into a text box, they are building a data set with unique, singular data points. Of course, such data can be then combined into themes or answer categories that improve our ability to understand the sentiment of the respondent

IntelliSegment™ uncovers nuances in customer stories.

Posted on: September 25, 2020

Quantifying qualitative survey data often becomes an exercise of “let’s just get finished with it,” but looking for nuance in answers to open-ended question can tell us something distinctive about specific segments of respondents. I recently witnessed this when I was showing our platform to one of our partners. I was walking her through a routine demo of the different visualization tools we have, when I finally opened up the IntelliSegment™ chart. While explaining how it works, I recognized the look of surprise in her eyes (through zoom, no less) when