ATLAS.ti
Code qualitative data to uncover themes systematically.
Advanced Qualitative Data Analysis (QDA) software that helps researchers organize and interpret unstructured data such as interviews, documents, videos, and field notes. It enables users to uncover themes, connections, and trends through a powerful yet intuitive analytical environment.
Features
Qualitative Coding & Analysis
Code and analyse text, audio, video, images, and PDF documents systematically.
Thematic & Pattern Analysis
Identify themes, relationships, and patterns across large qualitative datasets.
Visual Tools & Networks
Use network views, code co-occurrence tables, and visual maps to explore insights.
Collaboration & Project Management
Support team-based qualitative research with shared projects and version control.
Use Cases
Explore insights that inspire impact — with Atlas.ti
Academic & Social Science Research
Analyze large volumes of unstructured data to build theories, uncover social patterns, and support rigorous qualitative research.
Policy & Programme Evaluation
Instead of just analyzing primary data, many researchers use ATLAS.ti to analyze secondary data such as existing academic papers and PDFs.
Market Research & User Experience
In the corporate world, ATLAS.ti is used to make sense of customer feedback, open-ended survey responses, and social media data.
Healthcare & Clinical Research
Study patient experiences, practitioner interviews, and clinical narratives to identify themes, improve care, and inform decisions.
Media & Content Analysis
Analyze news articles, transcripts, and multimedia content to categorize themes, track narratives, and compare perspectives.
Mixed-Methods Research
Combine qualitative insights with quantitative findings to triangulate results, strengthen conclusions, and deepen overall analysis.
Industries
Education & Research
Used by students and professors to manage theses, dissertations, and literature reviews by centralizing hundreds of PDFs and transcripts.
UI/UX design
Researchers import video recordings of user testing sessions and tag specific moments of user confusion or success, providing clear visual evidence to justify design changes to stakeholders.
Business
Atlas.ti uses AI-driven tools like sentiment analysis and auto-coding to quickly scan thousands of surveys or reviews, helping companies identify market trends.
Social Sciences
It helps researchers map complex relationships between social concepts such as how “economic status” relates to “education access”.
Explore More
The Guide to Interview Analysis
Interview analysis involves systematically examining verbal data to uncover patterns, meanings, and insights. The ATLAS.ti guide explains that the process begins with preparing and familiarizing
The Guide to Literature Reviews
A literature review is a structured approach to identifying, evaluating, and synthesizing existing research on a particular topic. The ATLAS.ti guide explains that a strong
The Guide to Thematic Analysis
The guide explains that thematic analysis offers flexibility and can be applied across a wide range of disciplines. It emphasizes the importance of systematic coding
Mixed methods research: Definition, types, benefits, and challenges
Independent variables are the predictors you set or measure first, and dependent variables are the outcomes recorded afterward. Define the two variables with clear units,
The state of AI in qualitative research in 2025
By 2025, GenAI has transitioned from siloed labs into mainstream qualitative research, thanks to robust performance gains and affordable access. Both academia and industry increasingly
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