Summarize documents, refine coding, and simplify jargon with Lumivero AI Assistant for NVivo.
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.
Find the right tools for your workflow — from basic to advanced.
NVivo | NVivo + AI Assistant | Most Popular NVivo Insights Bundle | NVivo Research Bundle | |
|---|---|---|---|---|
| Qualitative data analysis | ||||
| AI Assistant | ||||
| Transcription (5h) | ||||
| Citavi (reference management) |
Get tailored licensing, flexible purchasing options, and expert guidance to help your team scale NVivo with confidence.
Contact salesVolume pricing and co-term licensing for multi-user deployments
Flexible payment options including invoicing and enterprise terms
Expert consultation to match the right solution to your workflows
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 and a transparent analytical process reviewers can trust.
Consumer insights and brand research professionals who analyze interviews, focus groups, and open-ended survey responses to surface patterns and inform strategy.
Program evaluators and policy analysts who need audit-ready documentation, transparent methodology, and findings grounded in data and lived experience.
Clinical researchers, social workers, and public health professionals who work closely with people—analyzing experiences, interviews, and observational data to inform evidence-based practice.
Identify and analyze recurring patterns and themes across interviews, focus groups, and open-ended survey data.
Build theory from the ground up by systematically coding qualitative data, identifying patterns, and developing insights rooted in real-world observations.
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.
