Toolbox

Agentic AI and Qualitative Research: A Work-in-Progress View

The authors examine how Agentic AI can transform qualitative research. By automating repetitive tasks such as transcription, coding, summarization, theme-generation, and evidence tracking, Agentic AI frees researchers to focus on insight, interpretation, and storytelling. It emphasizes transparency, verifiability, and human oversight, proposing a practical, researcher-centered framework where AI complements rather than replaces qualitative judgment. The authors offer a grounded, practitioner’s perspective, highlighting how Agentic AI enhances efficiency, clarity, and stakeholder trust while preserving the integrity of the qualitative craft. […]

Toolbox

Striking the Right Balance Between Human and AI Transcription for Qualitative Research

By now we all know AI transcription of interviews is anything but flawless–especially when cultural references are critical to insights, as they can easily be missed by machines. But, if used properly, AI transcription can add efficiency to projects. In this article, multilinguistic researcher Jill Kushner Bishop outlines a decision-making framework to help researchers decide when to consider human or blended human and AI solutions to optimize resources and maximize the quality of insights. […]

Business Matters

The Future of Qualitative Research—An Ideation Session: How We Can Dramatically Increase Our Value to Clients and Stay Relevant in the Future

Is traditional qualitative research dead? A provocative question that seems to surface every now and then. With the proliferation of new tech tools and AI, it might feel this way sometimes, but it’s the combination of old and new methods that can help researchers increase their value to clients. Author Len Ferman identifies ideas from a brainstorming session with qualitative researchers to consider in our pursuit to add unique value to brands and businesses. […]