AI-Assisted Qualitative Analysis with NVivo Training Course

This five-day course teaches researchers to use NVivo's Lumivero AI Assistant well. It covers AI-generated summaries of transcripts, codes and cases, AI code suggestions, and AI autocoding for patterns, themes and sentiment, all folded into a sound coding workflow in which the researcher stays in control. Introduced in NVivo 15, the AI Assistant is built to support analysis, not to perform it, and this course teaches exactly that balance.

AI arrived in qualitative software fast, and the reaction split two ways. Some researchers reached for it as a shortcut and let it code their data for them, producing findings they could not defend. Others refused it entirely and kept doing by hand what the software could now accelerate. Both responses miss what the tool is actually for.

NVivo's Lumivero AI Assistant is built on a clear principle: it supports the researcher, it does not replace them. It summarises a transcript, suggests sub-codes from material you have already coded, and autocodes for patterns, themes and sentiment, and at every step it shows the evidence behind its suggestions, so nothing is a black box. The judgement, the interpretation and the final decision stay with you.

This course teaches that balance. Across the week, participants fold the AI Assistant into a real analysis, using it to move faster through early-stage tasks, then bringing their own reading and reasoning to what it produces. It is honest about where AI helps, where it misleads, and where a researcher's judgement must override it. The examples draw on the multi-site and multi-language data common across African research, where AI summarisation of foreign-language sources is genuinely useful. Participants leave able to work faster with AI without surrendering the rigour that makes qualitative findings credible.

• Explain what NVivo's AI Assistant does, and the principle that it supports rather than replaces the researcher.
• Generate and use AI summaries of transcripts, codes and cases, saved as memos.
• Use AI code suggestions to develop a finer code structure, accepting, refining or rejecting each.
• Apply AI autocoding for patterns, themes and sentiment, and judge the output critically.
• Summarise foreign-language sources to support multi-language projects.
• Integrate AI-assisted steps into a transparent, defensible coding workflow.
• Recognise where AI adds value and where it introduces error or bias.
• Keep an audit trail that records what was AI-assisted and what was researcher-decided.

This course is designed for:

• Researchers already coding in NVivo who want to use its AI features well
• Monitoring and evaluation officers handling large volumes of qualitative data
• Mixed-methods and data analysts
• Postgraduate students and academics
• Programme and policy staff analysing consultations and feedback
• Consultants delivering qualitative studies at pace
• Anyone curious, or cautious, about AI in qualitative analysis

The course is hands-on and project-based. Participants take a real dataset through AI-assisted and manual steps side by side, comparing the two, so the strengths and the limits of the AI are learned by direct experience.

• Guided use of the Lumivero AI Assistant
• Side-by-side manual and AI-assisted coding exercises
• Critical review of AI summaries and suggestions
• Autocoding and sentiment exercises with interpretation
• A running project taken from import to AI-supported first findings

Organisations that invest in this training for their teams will benefit from:

• Faster early-stage analysis without loss of rigour
• Consistent use of AI across the team, with clear limits
• Better handling of large and multi-language datasets
• A defensible record of where AI was and was not used
• More analyst time spent on interpretation, less on mechanical tasks
• Confidence that AI-assisted findings will withstand scrutiny

Participants who enrol in this training will benefit from:

• Command of NVivo's AI Assistant, used well
• The judgement to accept, refine or reject AI output
• Faster routes through early analysis
• A current, in-demand and marketable skill
• A transparent, audit-ready way of working with AI

At Strategic Revenue Africa, our certification goes beyond proof of attendance—it represents practical competence and measurable capability. Upon successful completion of our training programs, participants are awarded a Certificate of Completion from Strategic Revenue Africa, recognizing their ability to apply acquired knowledge in real-world settings. As an organization focused on architecting sustainable revenue and strengthening organizational performance, our certifications signal that participants are equipped with skills that drive results, not just theory.

Participants should be able to set up a project and code data in NVivo. The foundational Qualitative Data Analysis with NVivo course, or equivalent hands-on experience, is recommended. A laptop with NVivo 15 is required, with the AI Assistant enabled; we can advise on licensing, and AI Assistant availability should be confirmed with Lumivero.