NVivo helps you organize, analyze, and find insights in unstructured or qualitative data like interviews, surveys, and journal articles.
Whether you are working with text, audio, video, or images, NVivo gives you tools to code, query, and visualize your data with precision.
Transcribe audio and video files and transfer them in an NVivo-ready format, straight to your project. Available in 43 languages.
Share projects and collaborate with your research team in real-time through a secure cloud workspace.
Accelerate your qualitative analysis with AI-powered auto-coding, sentiment analysis, and theme discovery.
Find the right tools for your workflow — from basic to advanced.
| Features | NVivo 15 | NVivo + AI Assistant | Most Popular NVivo + Insights | NVivo + Research |
|---|---|---|---|---|
| Qualitative coding | ||||
| Text analysis | ||||
| Coding queries | ||||
| Data visualization | ||||
| Mixed methods | ||||
| Team collaboration | ||||
| AI auto-coding | ||||
| AI summaries | ||||
| Transcription (5h) | ||||
| Citavi reference management |
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Discover why thousands of researchers worldwide choose NVivo for qualitative and mixed methods analysis.
Conduct analyses across methodologies with the structure and depth needed to interrogate data and build defensible insights.
Accelerate early coding with AI, then use advanced queries and mixed methods features to develop holistic interpretations of your data.
Deliver audit-ready findings for publications, evaluations, and grant proposals that withstand scrutiny and guide meaningful action.
PhD students, postdocs, and faculty conducting qualitative or mixed methods research who need rigorous, publishable findings.
Consumer insights and brand research professionals who analyze interviews, focus groups, and open-ended survey responses.
Program evaluators and policy analysts who need audit-ready documentation and transparent analytical processes.
Clinical researchers and social workers who analyze patient experiences, interviews, and observational data.
Identify and analyze recurring patterns and themes across interviews, focus groups, and open-ended survey data.
Build theory systematically from raw data through iterative coding, categorization, and constant comparison.
Combine qualitative and quantitative data in a single project to develop richer, more defensible research findings.
Organize and synthesize academic sources, extract key concepts, and map connections across a body of literature.
Assess the effectiveness of programs and policies by structuring and analyzing stakeholder feedback and outcome data.
Systematically code and analyze text, media, and documents to surface patterns and build evidence-based conclusions.