Voice gives research the human texture surveys often miss—but only if the data is genuine. Our goal is simple: make sure the person speaking is real, engaged, and part of the intended audience. To do that, we run a light‑touch AI quality check every two minutes, stream results to a live dashboard, and deliver a final evaluation at the end of each interview.
In our previous post, we explored how traditional surveys fail to capture the depth businesses need for meaningful insights. The choice has always been binary: deep qualitative research with 20-30 participants, or shallow quantitative surveys with thousands.
AI-powered qualitative research studies are changing this equation, enabling businesses to conduct in-depth, conversational research with hundreds or thousands of participants simultaneously through comprehensive market research.
For decades, gathering rich qualitative data meant resource-intensive one-on-one interviews or focus groups. While incredibly valuable, these methods inherently limit scale. Now, advancements in conversational AI are ushering in a new era for qualitative research, enabling deeper understanding at unprecedented speed and scale. Platforms like Agent Interviews are at the forefront of this transformation.
What trends are shaping the future of AI-powered interviews?