Human research
This page provides a number of useful tools to assist you in collecting human-related data, such as interview or survey data. Please note that many tools may not yet be capable of completely replacing human researchers. Human supervision is essential.
QualiTaTi Tools
AI-powered qualitative research tools — qualitati.com/tools
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DATA COLLECTION
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AI Interviewer — Design and conduct AI-powered interviews. Create interview guides, let AI conduct structured or semi-structured interviews, and collect rich qualitative data at scale.
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Interview Assistant — Real-time transcription and organization for live interviews. Get AI-powered suggestions and coaching while you conduct interviews yourself.
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Survey — AI-driven qualitative surveys that adapt follow-up questions based on responses, enabling deeper insights than traditional fixed-format surveys.
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ANALYSIS
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ThemeLens — Thematic analysis across transcripts. Upload your interview data and let AI identify patterns, themes, and insights across multiple transcripts.
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QDA Workspace — Full qualitative data analysis workspace — code transcripts, generate codebooks, view analytics dashboards, and export results for publication.
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Voice Analytics — Analyze acoustic features and detect emotions in interview recordings. Extract paralinguistic insights beyond what text transcription captures.
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RESEARCH SUPPORT
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Mimi — AI research assistant that reads and understands your project data. Ask questions, get summaries, and explore your qualitative data conversationally.
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Manuscript Proofreader — Academic proofreading with Track Changes. Upload your manuscript and receive detailed corrections and suggestions in standard academic format.
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SIMULATION & SYNTHETIC DATA
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Synthetic Focus Group — Multi-agent AI discussion on your research topic. Simulate focus group dynamics with AI personas before conducting real fieldwork to refine your approach.
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Digital Twin Panel — Extract AI personas from real interview transcripts and deploy them for future studies. Create reusable digital twins of your research participants.




