We’re excited to share a new podcast episode from our team 🎙️

This time, we dive into one of the toughest areas of human-centered research: navigating sensitive conversations—grief, health, finances, and identity—with care and rigor.

In a candid chat between Bilge Terzioğlu and our AI-powered qualitative research tool, we explore when an AI moderator can feel safer (consistent, nonjudgmental, steady)—and what to watch for in prompt design to avoid “creepy curiosity,” canned empathy, or drifting into advice.

Excited to share a new QualsTalks episode — a casual (and slightly paranoid) chat on “AI accidentally misrepresenting brand values.”

When an AI moderator’s tone, phrasing, or follow-ups drift even a little, the brand can start “sounding” like someone else — more preachy, more salesy, more corporate, more something. And in qualitative research, that subtle shift doesn’t just change the vibe… it changes the data.

In the episode, we dig into how to guardrail it in practice: tone templates, persona settings, pilot transcripts, QA rubrics, and review loops — treating moderation like a designed system, not a default feature.

If you’re scaling AI-moderated qual (or even just testing it), this one’s for you.

If the conversation doesn’t feel human and fluid, it’s not qual — it’s fancy surveying.

We talk about why “native in language” isn’t the same as “native in culture,” and how AI (and humans) can miss meaning when slang isn’t just translation — it’s intent.