When I tackle a project for non-trivial cases, I tend to choose one of these, balancing the strength of the technique with the time it takes. But, with all the fuss about Large Language Models, I wondered if I could leverage multiple techniques on a single project. Here is a simple experiment using ChatGPT4.
In this post, I am going to talk about what coding is, when it can be useful (and when it isn’t), and how to use it. I am going to be looking at coding in the context of qualitative information, such as text, photos and video. This blog focuses on using coding to find insights, particularly in the context of market research.
Ray Poynter outlines why communities are going to be even bigger in 2021, due to four key driving factors.
Ray Poynter, 25 Oct 2020
What is the difference between qual and quant? Read Ray’s explanation, of why they are different and what the difference is.
When we think about qual versus quant we see that about 85% of research dollars are spent on quant and 15% are spent on qual? In this post Ray Poynter looks at why that happens.
Guest post by Edward Appleton, 29 November 2019 Millennials, Gen Z – totally hooked on Social Media, chatting, sharing, smartphone obsessed, with less and less time for the “real world”. True or false? If you have a teenager in the […]
Ray Poynter explores why data scientists often describe the results of market research surveys as ‘qual’ while market researchers describe them as ‘quant’.
Ray Poynter explains why using algorithms to recruit people for qual depths and groups is a bad idea.
This post looks at the definition of qualitative research and has been produced as part of a project I am doing with the University of Georgia’s Principles of Marketing Research team to update their Mobile Market Research course. Your thoughts […]
As part of the book on mobile market research that Sue York, Navin Williams and I are writing we need to give an overview of mobile qual, before going into depth. Do you think the image below helps? Thoughts? What […]
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