
The Quirk’s Event Chicago In 300 Words Or Less!
Quirk’s Chicago Event Recap by Kathryn Korostoff A big thanks to Quirk’s for another great market research event. And for hosting this one in Chicago—a great location choice judging by the crowds.

Quirk’s Chicago Event Recap by Kathryn Korostoff A big thanks to Quirk’s for another great market research event. And for hosting this one in Chicago—a great location choice judging by the crowds.

Could your research recommendations benefit from some amped up data analysis options? If you said “yes,” then there a handful of techniques you need to be proficient with—or at the

Career Anxiety Among Market Research Professionals Article by Kathryn Korostoff Do market research & insights professionals experience career anxiety? Of course. As do professionals from many fields—especially those that are

Question: Which of the following best predicts satisfaction among market research clients with their market research & insights partners? [1] Breadth of methodology options Depth of data analysis skill Excellence

The course sequences below may be helpful as you plan for market research training, whether for an individual or a team. In each group, we specify the courses in their ideal sequence (and note the total number of hours and skill level). However, there is no one-size-fits-all approach when it comes to training, so be sure to modify based on your team’s unique needs. Want assistance…

My hypothesis is that over the next year we will see strong demand for qualitative research, but it will skew to what we might call hard-core qual. That is, projects that are using qualitative research with rigorous attention to methodological and analytical execution. Thus, researchers will be expected to deliver projects that meets the persistent needs for scale and speed while also being rigorous.
Organizations that embrace customer-centric, data driven decision making (which is most of them) often do value qual. But as these organization have become more data-centric, their business decision makers have become more aware of data reliability concerns. Thus, it’s not surprising that while we are seeing strong demand for qual, we are also seeing higher expectations about the methodological rigor with which it conducted.
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