In 2024, generative AI made its definitive debut in market research. However, analyzing open-ended feedback remains a challenge due to the ever-changing nature of data and the diversity of survey context. To overcome these challenges, Pascal de Buren, co-founder of Caplena, shares five practical tips on how to extract maximum insights from open-ended responses. Here are the first three tips; join the session to learn more!
1. Every survey is unique, so traditional templates for codebooks are inadequate. What can we do instead?
2. Your analysis should be adaptable to new topics that may emerge in the data or research questions that change. We need an approach that reflects the dynamic nature of data.
3. Explore new ways to interact with open-ended responses using LLM-powered chatbots.
