After more than 40 years in the research and insights world, I thought I had fine-tuned my approach to finding the story in the data. Indeed, I have been teaching courses on story finding for over 20 years. However, the rise of Generative AI has caused me to redesign my methods and to adopt an AI-enhanced Socratic Method.
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.
Are you using Notebook LM yet? If not, I think you should be using it; it is frankly quite mind-blowing. To illustrate the power of Notebook LM I took the YouTube link for my presentation “How should you plan for AI and its impact on you?” from the April NewMR AI Webinar and uploaded it to Notebook LM.
Earlier this week, I discussed the use of Digital Twins in research; you can read that post here. Today, I am sharing a concept piece that illustrates one approach to Digital Twins, using ChatGPT.
Over the last year, there has been a growing interest in Digital Twins, which are virtual participants based on real individuals. In this note, I will outline what is happening, why it is happening, and share some key concerns that need to be considered.
Currently, I am spending four weeks in Japan, a mix of work, including workshops and presentations, and leisure activities (such as hiking and running). Today I checked into an AirBNB in central Tokyo and washed some clothes, after spending the weekend running a marathon on the West coast of Japan. The apartment is tiny, so I hung the clothes in the combined bedroom and living room. I have some standard photos I use to demonstrate using ChatGPT for qual, but I thought I would add a new one, so I took the photo below and asked ChatGPT to analyse it.
Last week, I had the honour to be invited to attend the QRCA International Qualitative Conference in Berlin on behalf of ESOMAR. It was a fantastic event with leading-edge, innovative, and sometimes challenging presentations from North America, Africa, India and Europe. I also had the honour of being allowed to share my thoughts on The Future of Qual. I will share my message in this note and add a bonus insight I could not squeeze into my presentation.
One key variable that differentiates one large-language model (LLM) from another is the size of its context window. In this post, I explain what a context window is and why it matters.
I think Deep Research is likely to replace quite a few types of research, some of them in the market research area. To investigate more, I tried two simple experiments. The first was to forecast the results of the recent Canadian Federal Elections and the second was to forecast what the closing share price for Tesla would be in two weeks from the forecast. Both forecasts turned out to be interesting, as I will show below.
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