2024 will be an exciting ride for the world of insights and research. But before I jump into what I think will happen, let’s address the caveats. Pandemics, wars, economic crashes, political instability, and climate catastrophes could all derail the probable world. In this post, I set out my predictions for 2024 and my prescriptions for some good actions to take, assuming that no black swan events happen.
NewMR produced the second wave of its study of optimism and pessimism in the insight and research ecosystem. Here are the top findings and a link to the full report.
In September, NewMR conducted a study with research and insight professionals to understand the state of research and insights. We will be writing a report on this study next week and sharing the results, but this week we have been experimenting with the data. On Monday and Tuesday, I presented sneak peeks of the study, looking at what insight professionals thought were the main positives and the main negatives of the research industry. Today, I want to share a summary of the data generated 100% via AI using a tool called ResearchWiseAI.
Yesterday, I shared a word cloud showing a summary of the main things that were worrying research and insight professionals. To balance the picture, this post looks at what researchers and insight professionals see as the positives, answering the question, “What are the most positive things about the insights and research world in 2023?”
In September, NewMR ran a study focusing on the research industry, looking at levels of optimism and pessimism, topics that were seen as positive and negative, and plans for the near future. This study will be analysed over the next week, and a report will be released shortly.
As a first step in conducting the analysis, I looked at a word cloud of the open-ended comments using NewMR’s Word Cloud Plus. The results are interesting and I thought I would share them as a teaser for the upcoming report.
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.
By continuing to use the site, you agree to the use of cookies. more information
The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.