Customer research should be simple: ask buyers what they want, listen hard, and act. In practice, it is tangled with bias, small sample sizes, and researcher assumptions that filter out the very words you need to hear. This book shows you a different way. Using an AI assistant as a disciplined partner, you will learn to capture unfiltered customer language — from interview transcripts, support tickets, reviews, and social conversations — and surface patterns that spreadsheets miss. The focus stays squarely on practical workflows: how to brief the tool, what to ask it to ignore, and how to verify that its observations match real buyer behaviour. You will also confront the hard questions: when AI introduces new distortion, how to protect customer privacy, and what human judgment must always own. No hype, no model-versus-model comparisons. Just a repeatable method for turning raw talk into decisions you trust. Part of The AI in Business Library.
About the author
Daniel Osei Vance writes for The AI in Business Library.
