AI-Powered Qualitative Pharma Research: PJ Quinn’s Structured Protocols

In this episode of Talking AI, host Ray Poynter sits down with Laura Quinn, president and co-founder of PJ Quinn, Inc. With over 25 years in marketing research and a background in biology and medical training, Laura has built her two-person boutique practice into a go-to qualitative partner for specialty-care pharmaceutical and healthcare clients.

Laura shares her journey from AI skeptic to enthusiastic adopter: attending early AI-focused industry conferences, evaluating multiple platforms, and ultimately choosing a research-dedicated solution (CoLoop) that meets strict HIPAA and GDPR requirements. She walks through the structured protocols and prompt-engineering techniques she and her team developed—alongside key cases where AI outpaced traditional analysis—to deliver faster, richer, and more reliable insights while preserving the human touch in each interview.

Whether you’re a solo practitioner or a small qualitative team, you’ll walk away with actionable best practices for vetting AI vendors, designing discussion guides with AI in mind, safeguarding data privacy, and integrating AI into every stage of a project without losing the adaptability that makes qualitative research unique. Tune in to learn how to harness AI to make your next pharma study cheaper (in time), faster, and—most importantly—better.