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.
On the evening of 28 April, I requested that Deep Research forecast Tesla’s share price for 12 May and provide me with its reasoning.
It has forecast $300 (compared to the current price of $285.88), in the post I show you its full report.
Here is a post that shows how you can use custom GPTs to create better deliverables for your clients. Let them leverage the power of LLMs to bring your work to life.
Reports, dashboards and PowerPoint decks are depressingly static deliverables, focused on the creator’s perception of the world, rather than being user centric. In this post I will highlight a powerful alternative that leverages AI. I am talking about using Custom GPTs to deliver a responsive and intelligent tool to the user.
Here are six ideas for you to start using Custom GPTs in the field of market research and insights.
Here is a tool that let’s you use AI to automate the analysis of surveys conducted via Google Forms.
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.
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