#Ai Moderated Interviews

Articles tagged with #ai moderated interviews

Best Async Customer Interview Tools in 2026: 8 Platforms Compared

Perspective AI leads the AI-moderated text and voice async interview lane in 2026, with Dscout and Marvin holding video diary and Sprig owning in-product micro-interviews.

The 2026 AI Customer Interview Report: What 500 Hours of AI-Moderated Sessions Revealed

Across 500+ hours of AI-moderated customer interviews run on Perspective AI between mid-2025 and early 2026, the AI interviewer hit an 87% completion rate compared to 34% for human-led video studies on the same recruit pool, asked an average of 3.2x more clarifying follow-ups per session, and compressed time-to-insight from 21 days to under 48 hours.

How to Run AI-Moderated Customer Interviews: A Step-by-Step Playbook for 2026

AI-moderated customer interviews are 1:1 conversational research sessions where an AI moderator probes, branches, and clarifies in real time. This 2026 playbook covers brief design, moderation rules, recruiting, calibration, and reporting end-to-end.

AI-Moderated Interviews: The Mechanics of Good AI Interviewing in 2026

AI-moderated interviews are research conversations run by an AI interviewer that probes, follows up, and adapts in real time — and the gap between a good one and a bad one comes down to six concrete mechanics.

AI-Moderated Interviews: How They Work, When to Use Them, and What They Replace

AI-moderated interviews are one-on-one qualitative research conversations facilitated by an AI agent that asks questions, follows up on vague answers, probes for the "why," and adapts the script in real time — closing the gap between unmoderated tools (Maze, UserTesting self-serve) and human-moderated sessions (Dovetail, dscout, Lookback).

AI-Moderated Research: A Practical Guide to the New Default for Qualitative Studies

AI-moderated research is qualitative research where an AI agent — not a human moderator — runs the live conversation with the participant, follows up on vague answers, and produces a transcript and summary that a researcher reviews and synthesizes.