Research

We test the method with researchers at TUM and MIT and publish the results.

AI voice interviews let you hear a whole organisation in depth.

Accepted at three conferences

AI-Native Qualitative Interviews at Scale: Leveraging Conversational Agents for Organisational ResearchRead in the AIS eLibrary
An Experiment on the Effects of Conversational AI Assessments on Delayed Knowledge RetentionRead in the AIS eLibrary

AI-Mediated Employee Voice and Performance: Disentangling Informational and Affective PathwaysRead on arXiv
Voice-Based AI Feedback in Higher Education: A Field Study on Quality and ActionabilityRead on arXiv

Persona and Persuasive Framing in AI Voice Agents: A 2×2 Field Experiment with ChildrenRead on arXiv
Whose Voice Survives the Summary? A Voice-Retention Audit of LLM Employee ListeningRead on arXiv
Positive Ratings, Hidden Concerns: Employee Voice Disclosure in AI-Mediated Organizational ListeningRead on arXiv

Research partners

350 students at TUM and MIT gave over ten times the feedback of earlier runs of the same courses.

First test: 200 students

MIT Sloan, August 2026

Felt they had to justify themselves

We see it too: some people tell our interviewer they have never told anyone before.

MIT Sloan, November 2025

Plants that act on worker input, across 30,000 US sites

We see the same pattern in our projects. In an interview, people explain what is wrong and what would fix it.

Write to us to test the interviewer in a lecture, a lab, your organisation or a randomised controlled trial.