Is AI ready to moderate user interviews? Our honest take.
We're Decode by Entropik. Tomorrow we're launching Mira on Product Hunt. But we want to be honest about where AI moderation works vs. where it doesn't.
Where AI wins:
→ Consistency — every participant gets the same quality of follow-up probing
→ Scale — 100 interviews in the time a human runs 5
→ No interviewer bias — no leading questions, no body language tells
→ Captures what people feel, not just what they say (facial coding + voice emotion AI)
Where humans still win:
→ Strategic research where direction pivots mid-session
→ Highly sensitive topics (healthcare, mental health, trauma)
→ When you're exploring a hypothesis you can't articulate yet
Mira is built for the first category. We're explicit about the second.
What's your take — where do you think AI moderation is a good fit and where isn't it? Would love to hear from researchers, PMs, and founders who've been burned by qual research that missed the real insight.
(Mira is live tomorrow on PH → link in profile)
Replies
Mira
My opinion from speaking with a large set of research leaders across industries, AI moderation earns its keep on consistency and scale, the parts humans drift on by interview number twenty, and on turnaround when a study has to run across many languages at once. Where it stays hard is the unscripted emotional moment, the polite "yes" that quietly hides real hesitation. Sounds like reading feeling in real time is your attempt to close exactly that gap. Keen to see it live tomorrow.