In this final post of the 4-blog series, we discuss that Generative AI is a game-changer that our industry needs to be ready for, and more knowledge-sharing and training need to happen so that researchers and businesses alike can "stand on its shoulders".

In this 3rd post, we explore why some market research professionals perceive no impact or a negative impact of generative AI on their organizations.

In this 2nd post, we look into why market research professionals feel there's a positive impact that generative AI have on their organizations.

In preparation for IIEX Europe two weeks ago, we created an inca survey/chat to collect thoughts and feelings about generative AI among our market research peers and its impact on their roles and organizations.

Chat GPT has generated a huge amount of buzz recently. But what is ChatGPT and what does it mean for the future of market research?

What if there was quantitative research that improved the respondent experience and delivered high-quality data? What if it could uncover not only the "what", but also the "why"? The good news is that there is – and it’s called conversational surveys, or conversational AI.

In this final blog of our series, I’m handing over to my colleague and CTO, Josh Seltzer, who will discuss what the future might hold for conversational AI and its application to market research.

This week I turn attention to how Conversational AI can build participant engagement through improved versions of typical online quantitative survey questions.