AI moderation is quickly becoming part of many teams’ insight toolkits. At its best, it lets teams bring evidence to every decision, even as development cycles speed up. The challenge is keeping good research practice at that pace, so participants have an experience worth their time and teams come away with insights they can act on.

In this session, Ben Wiedmaier, Askable’s Research Advocate, walked through what rigor looks like when an AI is running the interview, and how real teams are combining AI moderation with human expertise. The session covered:

• What rigor means for AI moderation, and why setup quality decides session quality
• The three ingredients of every session: participants, moderator and goals
• The trade-off between an AI moderator’s consistency and a human’s empathy
• When to reach for AI moderation, and when to bring in a human
• Five recipes for combining AI and human research, from scaling up human discovery to continuous research and reaching multilingual and hard-to-reach participants

Your host
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Ben Wiedmaier has spent a decade in research tech, moving from research advisor to enablement lead. He has hosted People Nerds and Awkward Silences and has taught as an adjunct professor at DePaul University since 2015.

Missed the live session? Watch the on-demand recording to see how teams are using AI moderation well, and where they still bring in a person.