Built for researchers who want more capacity, not less control. Glaut gives expert researchers the operating capacity they usually need a bigger team or external partners to access.
Research tools often demand advanced skills such as R, Python, or SPSS. Using Excel, meanwhile, requires juggling multiple sheets.
In-house teams struggle to keep pace with their business’s speed, as internal stakeholders raise questions and increase pressure.
You can’t afford a purely qual study to answer all business questions. Surveys do not reveal the context or motivation behind their answers.
Lean research teams lose capacity across panel coordination, programming, tool switching, and outsourced analyses to DP.
Glaut handle every step of the research workflow. You can go from brief, data collection, analysis, and reporting in 1 workspace.
Go from brief to insights in 1 day. Glaut runs the interviews and starts analyses after fieldwork closes.
*time vary with fieldwork
AIMIs support survey structure plus dynamic, open-ended follow-ups. Blending quant structure with qual depth at scale.
Glaut provides support for programming, panel management, and integrations with your tech stack.
Choose a use case to see Glaut in action: try the interview as a participant and read the report.
Glaut software is able to perform in-depth, automatic, real-time analysis of unstructured data from thousands of AI-moderated interviews:
1. Thematic coding of verbatims: Glaut performes multi-layered thematic analysis ( codes and sub-codes) from open-ended responses. This process can be executedtrough:
- Customizable instructions: Researchers can specify the goal of the analysis, such as identifying emotions, key drivers, or other tailored objectives, and Glaut will find suitable themes by looking at the answers.
- Codebook support: Alternatively, researchers can provide a predefined codebook, and Glaut will apply it to categorize responses.
2. Entity recognition: Glaut can analyze and highlight specific entities mentioned in responses, such as brands, products, or organizations.
3. Interpretative analysis: Glaut can interpret verbatim through a custom lens, decided by researchers. This is used to extract emotions, sentiment, likelyhood to purchase or to churn, or other tailor-made analyses.This flexibility allows for tailored, in-depth analysis that aligns with your research goals.
Glaut delivers three complementary outputs:
1. Dashboard visualizations: researchers can access interviews analyses on Glaut's platform, visualizing codes and sub-codesderived from responses, enabling segmentation of insights across answers.
2. CSV/SPSS export output: researchers can export analyzed interviews’ data in a structured CSV/SPSS file, to conduct more complex statistical analyses with them.
3. Report: Glaut provides modular executive reports about key insights, focused on actionable advice, and high-level recommendations to drive decision-making.
Unlike other AI tools that operate as "black boxes," Glaut is built for experienced researchers, giving them significant control, customization and flexibility over each step of a research process, from briefing to final report. Glaut also stands out with its voice-based approach, where both questions and answers are delivered and processed via voice. Finally, one of our platform's core strenghts is the focus on verbatim analysis and interpretation, such as inferring purchase likelihood or NPS scores, without directly asking those questions to the respondents.
In summary:
- Customization & Flexibility for researchers
- Voice-based research
- Deeper insights from verbatim
AI-moderated voice interviews for insights at scale
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