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October 8, 2025
Presented by Glaut
Human Highway needed to dramatically scale its qualitative research capacity while maintaining consistency and depth of insights. Traditional one-on-one moderated interviews required significant moderator time, limited the number of simultaneous interviews, and created bottlenecks in turnaround. The stakes were high: without a scalable solution the firm risked slower time-to-insight for clients, higher costs per project, reduced ability to service multiple projects concurrently, and potential loss of competitive advantage in delivering timely, actionable qualitative findings.
GLAUT provided its AI-moderated interviews platform that automates moderation tasks while preserving conversational depth. The solution runs AI-moderated interviews with a semi-structured interview design, plus dynamic follow-ups and probing. Integrated features include automated transcription, standardized probing logic to ensure consistency across interviews, and tools to monitor sessions and extract themes rapidly - enabling Human Highway to run many more qualitative interviews in parallel with reduced human-moderator hours.
Human Highway transformed its research approach with Glaut, moving from single open-ended questions to rich, multi-layered interviews powered by AI-driven follow-ups. Each respondent answered 40% more questions, uncovering not only their opinions but also the motivations behind them.
With Glaut, Human Highway conducted a qualitative survey at a quantitative scale, interviewing and analyzing over 1,000 cases. The AI moderator dynamically adapted each conversation, resulting in 33x more respondents than comparable traditional projects and 40% more open-ended insights per respondent.
Thanks to automated semantic coding, the team reduced manual processing dramatically. Results were delivered in real time, cutting analysis time by 95% and saving roughly two working days (16 hours) per project. This automation freed researchers to focus on what matters most: deep interpretation and strategic decision-making.
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