The world of market research is changing fast. For years, you had two main choices: run a survey to get quantitative data from lots of people, or conduct in-depth interviews to get rich qualitative insights from a few. The first gives you scale, the second gives you depth, but getting both at the same time has always been the challenge.
Today, a new generation of AI-moderated interview platforms is bridging that gap. These tools promise the best of both worlds, allowing you to have deep, probing conversations with hundreds or even thousands of people simultaneously.
This guide explores the landscape of AI-moderated research, looking at what makes a platform effective. We'll use Glaut as a reference point to understand the core capabilities and then provide a framework for evaluating other tools in the space, like Qualz, Yasna, and other Conveo alternatives.
When you're moving beyond traditional surveys, you're not just buying software; you're adopting a new methodology. The right tool should feel less like a survey builder and more like a team of tireless research assistants.
Here’s one way to think about the key features that matter:
Glaut is an AI-moderated interviewing platform designed around a methodology called AIMI (AI-Moderated Interviews). It’s built to automate the entire research process—from generating the interview guide to moderating conversations and analyzing the results[4].
Here’s how its features align with the criteria we just discussed:
When you're doing a "Glaut vs. Qualz" or "Glaut vs. Yasna" comparison, it's helpful to use a consistent set of questions. Since every platform has its own strengths, the "best" tool depends entirely on your research needs.
Use the table below as a guide for your evaluation. We’ve filled in the details for Glaut based on public information and left the columns for Qualz and Yasna as questions for you to ask during a demo or trial.
FeatureGlautQualzYasnaCore MethodologyAI-Moderated Interviews (AIMI) with dynamic, unscripted probing.Question: Is it truly conversational or a structured survey with a chat interface?Question: Does it support hybrid qual-quant methods in a single interview?Primary Data InputVoice-first for nuance, with text and structured response options.Question: Is voice a primary feature, or is it mainly text-based?Question: What are the primary input methods, and how do they capture depth?ScalabilityThousands of concurrent interviews.Question: What are the practical limits on concurrent sessions for a typical project?Question: How does the platform handle large-scale, multi-country projects?Language Support50+ languages with automated moderation[2].Question: What is the extent of its multilingual support? Is it fully automated?Question: Can it moderate interviews in multiple languages without manual oversight?Analysis EngineAutomated thematic, sentiment, and interpretative analysis with executive-ready reports[3].Question: How much manual coding and analysis is required after data collection?Question: Does it generate strategic insights or just data visualizations?Security CertificationISO 27001 Certified, GDPR/CCPA compliant[4][3].Question: What are its specific security and data privacy credentials?Question: Is it certified by recognized international bodies?Panel IntegrationFully panel-agnostic[3].Question: Are you locked into a specific respondent panel, or can you bring your own?Question: How easily does it integrate with external respondent sources?
Selecting an AI-moderated interview platform is a strategic decision. Whether you're comparing Glaut vs. Yasna, exploring Qualz, or looking for Conveo alternatives, the core question remains the same: which tool will give you the deepest, most reliable insights at the speed and scale your business needs?
The most advanced platforms are more than just tools; they are methodological partners. They are designed not to replace the researcher, but to amplify their capabilities—handling the repetitive tasks of moderation and analysis so you can focus on asking bigger questions and uncovering the story within the data.
Based on current industry understanding, the future of research lies in this blend of human curiosity and machine efficiency. The key is to find a platform that honors the complexity of human conversation while delivering the clear, actionable insights you need to move forward.