When discussing the application of AI in qualitative research, the conversation invariably gravitates towards two pivotal concerns: bias and ethics. For some researchers, these concerns are deal-breakers, effectively ruling out the use of AI. For others, they introduce a level of discomfort and uncertainty, leading to reluctance in adopting AI...
Read MoreThe landscape of qualitative research has witnessed profound transformations, evolving from the days of notetaking to leveraging the sophisticated capabilities of generative AI. This journey reflects not just technological advancements but also multiple paradigm shifts in how researchers approach, analyze, and interpret qualitative
Read MoreA few days ago, I encountered yet another bold claim that qualitative data analysis can now be done instantly. The tool being touted not only collected the data but also, without delay, provided researchers with immediate access to the insights generated from that data, all through a fully automated
Read MoreYou may have come across the quote: "If I had asked people what they wanted, they would have said a faster horse." Although often attributed to Henry Ford, there is no evidence that he actually said it. The essence of the quote is that true innovation goes beyond customer input. While customer input is generally important for product development,...
Read MoreRecently, I came across three pieces of information– one came in the form of a brochure where a company was advertising the fantastic new ways AI will transform marketing research. The second was a presentation of a new tool incorporating AI. The third was an interview in the Wall Street Journal with Prof. Gerd Gigerenzer, director of the...
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