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Reports & Guides

AI Moderated Interviews 101

AI Moderated Interviews 101

AI Moderated Interviews 101

How consumer insights and UX research teams are running deep, adaptive interviews at survey scale, and getting decision-ready insights in days, not weeks.

How consumer insights and UX research teams are running deep, adaptive interviews at survey scale, and getting decision-ready insights in days, not weeks.

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Qualitative research has a capacity problem

Insights and UX teams are being asked to inform more decisions, across more markets, on shorter timelines. Traditional qualitative research can't keep up, not because the method is weak, but because it depends on human moderators who are expensive, scarce, and impossible to scale.

The math is unforgiving. A typical qual project takes 21–34 days from design to report. And in an $84 billion research industry, most organizations still cap out at 20–30 interviews per project, because that's all the moderation budget allows.

What this leads to:

  • Product, design, and marketing decisions made before research can weigh in

  • Samples too small to trust across segments, personas, or markets

  • Researchers spending their weeks on scheduling, transcription, and coding instead of interpretation and strategy

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