Product or concept test
September 19, 2025

Glaut AI-powered research for Quick Discovery Qual

TABLE OF CONTENT
The AI-native market research platform for fast, in-depth insights
Combine survey scale with interview depth

When teams need fast, actionable insights, traditional qualitative methods fall short. Recruiting, scheduling, and moderation stretch timelines into weeks, while costs climb.

Glaut changes that: it delivers the same depth of qualitative feedback but with the scale, speed, and efficiency researchers need today.

Why Choose Glaut

  • Scale → Run dozens or hundreds of interviews in parallel, across markets in 50+ languages.
  • Speed → Insights in 2-4 days, not weeks.
  • Cost3× cheaper per interview than traditional qual.
  • Depth → Good qualitative richness with Voice-first mode [1] :
    • +236% more words
    • +138% more unique words,
    • +28% more codes in voice interviews vs. typed answers

Traditional Qual vs. Quick Discovery Qual with Glaut

Dimension Traditional Qual Quick Discovery Qual with Glaut
Sample Very small N (5–10 people) Dozens → thousands simultaneously, consistent scale
Speed Weeks to complete 2–4 days fieldwork, 24/7 availability
Cost High (moderators, facilities, transcripts) 3× cheaper per interview
Depth Very high, but limited to small groups Good depth at scale (+236% words, +138% unique words, +28% codes)
Access Recruiting, scheduling, time zones needed Smartphone-first, anytime, anywhere

Bottom line

Quick Discovery Qual with Glaut delivers the speed of quant with the depth of qual.

  • Broader reach: multiple languages and markets at once.
  • Faster cycles: insights in days, not weeks.
  • Lower costs: 3× cheaper than traditional qual.
  • Richer data: more words, more unique insights, better coding.

When timelines are tight and decisions can’t wait, Glaut makes discovery qual truly quick, without compromising on quality.

[1] V. Valli, Glaut Research, Voice vs. Text in AI-Moderated Interviews: A Comparative Study of Data Quality, Disclosure, and Participant Experience, 2025