We create standards, codes, checklists, and best practices to separate good research from poor research. However, unless we recognise the differences between the theoretical underpinnings of different research methods, we will likely do a bad job.
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.
One of the topics generating the most heated debate in the AI/MR/insights arena at the moment is that of synthetic data. Here is my take on what it is, why it will be such a large part of what we do in the future and some of the key steps we need to take.
In June, NewMR conducted a study with 270 insight professionals to establish a benchmark for the state of the research industry.
The main message from this study is that the insight professionals we spoke to tend to be optimistic about the state of insights. When we collect the next wave of data later in the year, we will get a better indication of the way things are going. However, it is also important to note that 10% of our participants described themselves as pessimistic about the state of insights.
Think, Feel, Do! explains a process where the analysis identifies the message that needs to be conveyed, the Do! is what we want to happen after the message has been communicated. Think is the method we find the Do! Feel is the mechanism that promotes the Do!. In this post, I will explain these three steps: Do! then Think, then Feel.
For many years Ray Poynter has been offering training courses to a range of private and public organisations. Four of these courses are now being offered directly to NewMR’s contacts.
My mind has been blown away by what I saw this evening at an AMRS event in London. AMRS (Archive of Market and Social Research) is a freely accessible collection of research materials going back decades, and I was delighted to be invited to attend. Please check out the Archive by clicking here.
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.
At every event I go to, I hear, at some stage in the discussion, ‘Will AI steal our jobs?” So, here are my thoughts about that question and my views on the prospects for people working in the insights and research industry.
Well, the short answer is yes, but maybe not before you change role, retire, or retrain.
We’ve added lots of new features to Word Cloud Plus recently, including selecting multiple phrases at the same time. This makes Word Cloud Plus even more effective for kick-stating your analysis of text.
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