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7 ways AI can support and benefit your user research
How AI can be used to help UX Researchers
Without a doubt one of the biggest (tech) trends we have seen in 2023 has been the arrival of truly smart AI through the likes of ChatGPT. It has really highlighted the strengths and capabilities they can, and will offer. It has also surfaced existing products that haven’t gotten the usage they have warranted, despite being having coming to fruition a while ago now.
AI is also something that is clearly here to stay. While there are concerns around what this means for peoples jobs or how it could affect society; as with a other significant developments in human history, it will have a profound affect. Like the invention of the printing press or creation of the world wide web, it can be used for the better and to improve and enhance what we are capable of and revolutionise the way we work. One of the most important things to remember is that behind every AI product there is still the need for a human to build it or operate it. I, therefore, see it as a new tool like Zoom or Gmail that will allow us to work more effectively and more efficiently. It frees up time for us to be able to focus our attentions on something else, develop new best practises or innovations within the field. In the article below, I share my initial thoughts on how AI products can potentially be used to help UX Researchers enhance and build on their research.
Summarising connected content
I was recently working on a team that was focused on helping users build better health habits. Building new habits is a very complex field, with many experts sources dedicated to this topic from whom to get the information from. One such source was actually a book that I had started reading at the time called Atomic Habits. I found it a fascinating read with a lot of relevant information, but it was hard to recall everything from it that we could take away. In this example I used AI (ChatGPT) to summarise the key takeways from the book about how to build better habits. We, as a team, then had a bitesize collection of insights on how we could help users build better habits that we could either explore and research more, or take away and develop.
