AI-powered qualitative analysis with source tracing — QInsights talk
What the video covers
This video demonstrates QInsights, a qualitative analysis tool built specifically for researchers who need more than what general-purpose LLMs offer. The demo covers the core analysis modes: conversational analysis where researchers ask questions of their data, grid analysis for structured interview and focus group comparison, sentiment analysis with user-defined dimensions, and an analysis archive for organizing findings.
Who it’s for
Qualitative researchers, both academic and commercial, who need an AI analysis tool that maintains source traceability and supports structured comparison across participants. The tool is aimed at those who want AI assistance without losing the ability to verify where each insight originates.
Key takeaways
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Source traceability addresses the trust problem. Every AI-generated insight links back to the original transcript, allowing researchers to verify claims rather than trusting black-box summaries. This is a critical differentiator from using general-purpose LLMs.
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Grid analysis enables structured comparison. For interviews and focus groups, the grid view lets researchers ask the same question across all participants and see responses side by side, a workflow that mirrors how experienced researchers naturally analyze qualitative data.
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Sentiment analysis uses researcher-defined dimensions. Rather than applying generic positive/negative sentiment, QInsights lets the researcher specify what dimensions matter, such as satisfaction, trust, or confidence, producing more relevant analysis.
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Multi-language and multi-format support. The tool processes Word documents, PDFs, and audio/video files with automatic transcription across a wide range of languages, reducing preparation work before analysis begins.
Worth watching if…
You conduct interviews or focus groups regularly and want a dedicated tool that provides AI-powered analysis with the kind of source verification and structured comparison that general-purpose AI chatbots lack.