By Ray Poynter15 September, 2025 I recently had the chance to sit down with Jack Bowen, founder of CoLoop, to explore what this innovative platform can do for insights professionals. This post accompanies the video demonstration (see below). My aim […]
I think too much of the discussion about AI is focused on what it might deliver in the future. I believe it is important that we look at what has already been achieved to get a sense of where we are and where it might go soon. This post presents a set of examples from around the world and across various fields.
In the fast-moving world of AI, organisations often struggle to decide which initiatives to prioritise. The opportunities seem endless, yet resources are limited, and different parts of the business may disagree on what matters most.
To cut through this, I use a framework I call The AI Territory. It adapts classic strategy tools (such as the Eisenhower Box and Value–Effort matrix) to the specific challenges of AI adoption.
As somebody who was a pioneer during the uptake of the Internet by the research ecosystem, I have been struck by how different I think the AI impact will be.
My feeling is that, compared with the Internet, the AI changes will be:
Faster
Driven by the big players
Take senior as well as junior jobs
There is widespread agreement amongst seasoned consultants that if an organisation is going to realise the benefits of AI fully, it needs to be adopted throughout the organisation. I firmly believe this to be true, and I am working with a number of organisations to help them achieve this. However, there are good ways and bad ways of going about this that I will illustrate with three case studies. Norges Bank, Shopify, and Klarna.
This is another post looking at the hot topic of Agents, building on the post from yesterday that created a Data Checking Agent. Today, I am looking at the combination of Instructions and Knowledge to create a more powerful Agent. Specifically, I will upload an Online Consumer Questionnaire House Style document and create a set of instructions to accompany it. For this example, I am going to use Copilot, but any LLM that allows agents to use Instructions and Knowledge would be suitable.
Ray Poynter, 28 June 2025 With Noriko Kishida (Japan), Tomoko Yoshida (Japan), Dangjaithawin (Orm) Anantachai (Thailand), and Seyo Adeoye (Nigeria), we have created a discussion and note relating to an experiment we ran earlier this year, examining the interaction between […]
You should not use standard t-test testing with synthetically boosted data. In this post I explain why and list three alternatives.
This post looks at how you can upload market research crosstabs to ChatGPT to help find the story in the data? The answer is yes, up to a point, if done carefully.
Until this year the assumption was that the USA was leading in AI and China was way behind. However, as this post highlight, the balance is changing, in China’s favour.
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.