AgentsThe story, in brief

AI-Moderated Interviews Expand How Teams Conduct Customer Research

Not a pilot. Teams are now deploying AI agents to run customer research interviews at scale — lowering language barriers and collecting qualitative data globally in real time.

Illustration of a transparent lens revealing connected networks across layers of paper.
Exploring the next frontier of AI research.AI illustration by KeyNews
The KeyNews take

Why it matters

AI agents are moving beyond internal workflows into customer-facing research operations, changing how enterprises collect qualitative insights. Practitioners building research infrastructure need to evaluate agent-moderation tooling as a category shift in market research methodology.

The key facts

10 to know
  1. AI agents conducting real-time interviews with human participants

  2. Capability to operate across language and time-zone barriers

  3. Combines scalability of surveys with flexibility of conversational research

  4. Emerging category — adoption expanding across teams

  5. Use case: qualitative data collection at scale

  6. AI agents conduct real-time moderated interviews with human participants

  7. Addresses scale challenge in qualitative research (historically limited by human moderator availability)

  8. Reduces language and time-zone friction in global research programs

  9. Combines survey structure/scalability with conversational flexibility

  10. Use case: customer research / product discovery workflow

Go to the source

Forrester Blogforrester.com

Publisher excerpt: AI-moderated interviews are an emerging research tool where an AI agent interviews human participants at scale by interacting with them in real time and facilitating the conversation based on their responses. AI moderators help teams collect qualitative insights at scale, lower language and time…
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