One way to use ChatGPT is to check your questionnaire design by asking ChatGPT to generate a questionnaire. In the example below, I have asked ChatGPT to show me the most important demographic questions to include in a
I wanted to check out ChatGPT4’s story writing. So, here is a quick experiment. First, I write a short story about a dystopian future based on AI and market research. Then, I asked ChatGPT4 to improve it. Below are both stories.
In the many training courses I run about extracting and narrating the story hidden in data, insights emerge as a crucial focal point. One striking observation I’ve made is that there’s no universal definition of ‘insight’.
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.
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