Surveys provide the numbers. Glaut AIMIs bring the stories. Together, they give researchers a complete picture of people’s experiences, motivations and reasoning.
Choose Glaut AIMIs when you need:
• Rich depth at scale
• Hard-to-reach audiences
• Fast turnaround from brief to insights
• Built-in fraud prevention
• Higher engagement through conversation
Choose Surveys when you need:
• Numeric measures only (%s, averages, incidence)
• Simple, structured closed questions
• Longitudinal tracking over time
On Glaut, you can also design a project made entirely of select and rating questions, and still enrich it with targeted open-ended follow-ups where deeper context matters.
WHEN TO USE TOGETHER
Maintain your surveys, embed AIMIs for qual depth
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You don’t need to disrupt your existing survey stack or start from scratch to use Glaut. With our iframe plug-in, AIMIs embed directly into your current surveys, whether in Qualtrics, Alchemer, or another platform, enriching legacy trackers with deeper, qualitative context.
This means you keep the structure, comparability, and historical continuity you rely on, while adding the power of Agile Quantifiable Qual (AQQ) to capture the “why” behind your KPIs.
Not at all. Surveys and AIMIs work best in combination. Surveys give you the numbers, AIMIs uncover the reasons behind them. Many researchers embed AIMIs into surveys or run them side by side for a fuller evidence base.
Yes. On Glaut, you can build projects with select or rating questions only, and still add smart open-ended follow-ups wherever you want more depth. This means you can run survey-style projects without leaving the platform.
AI moderation reduces gibberish, straight-lining, and copy-paste responses. In validated studies, AIMIs produced 129% more words per answer, cut gibberish by 53.6%, and achieved 56% higher completion rates than traditional surveys.
We take security and compliance seriously. Glaut is fully GDPR-compliant and ISO 27001 certified, trusted by global firms like IPSOS and Kantar to build secure and compliant AI-native research.
