CATI and AIMIs share a structured format, but AIMIs preserve full verbatims and use adaptive follow-ups to deliver richer insights across thousands of interviews.
Use Glaut (AIMIs) when:
- When you need depth at scale: consistent probing across hundreds or thousands of interviews.
- When you need verbatim fidelity: every word captured and coded.
- When you want lower operational drag: no call centers, asynchronous mobile-first access.
- When you need fast analysis: quant and qual merged in one dataset.
- When you want to enrich trackers with narrative “why” alongside numeric “what.”
Use CATI when:
- When telephone reach is essential (audiences best contacted by phone).
- When quotas or compliance require a human operator.
- When scripted clarification via a live person is part of the methodology.
(H3) Why Glaut performs better:
- No loss of nuance: every word transcribed and analyzed.
- Consistent depth: adaptive probing without interviewer drift.
- Scalable quality: from 10 to 10,000 interviews with the same rigor.
- Speed: instant dashboards combining scores, themes, and quotes.
- Higher comfort: async voice/text lowers friction for participants.
AIMIs run on a pre-defined design with guardrails: allowed probe types, relevance checks, and stop conditions. Follow-ups reference prior answers (not generic prompts), with all steps logged for auditability.
In most cases yes! AIMIs are smartphone-based and reach people wherever they are. They cover the same audiences as phone surveys, but with richer data and less friction. The exception is when a study explicitly requires live human interaction by phone. In all other contexts, AIMIs provide consistent depth, verbatim fidelity, and faster insights at scale.
Glaut AIMIs can run standalone or be embedded into existing surveys adding a qualitative “why” layer alongside quant items without disrupting workflows.
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.
