You have forty interviews, a growing list of codes and a nagging feeling none of it is turning into findings. NVivo organises the data, but it will not tell you what the data means. Our NVivo tutors work through your project with you, from importing the first transcript to defending your thematic framework.
The hard part of NVivo is rarely the software. It is deciding what counts as a code, knowing when to stop coding, and explaining to a supervisor why your themes are the right ones.
Tutors Who Have Done Qualitative Fieldwork
Our NVivo tutors have coded their own interviews, focus groups and documents. They can talk about coding decisions, not just menu paths.
Your Project File, Your Session
Share your screen and we work inside your actual NVivo project. You will finish understanding your own coding structure rather than inheriting someone else's.
Method You Can Defend
Braun and Clarke, grounded theory, framework analysis or content analysis. We connect what you do in NVivo to the methodology you named in your proposal.
Pick the stage where your project stalled. Everything below is something students bring to a session, from a folder of transcripts they cannot face importing to a node list that has grown to 200 codes and still says nothing.
Bring in transcripts, PDFs, audio, video, images and social media exports without losing formatting or speaker labels.
Import WizardSet up each interviewee as a case so you can later compare what different participants said about the same topic.
CasesAttach age, role, site or any other participant characteristic, which is what makes comparison queries possible later on.
ClassificationsFormat interviews so NVivo recognises speakers, letting you auto-code by speaker instead of selecting text by hand.
Autocode by speakerImport open-ended survey responses from Excel and handle projects that mix free text with closed questions.
Survey importSave, version and move your project between machines without corrupting it or losing a week of coding.
Project file (.nvp)Develop codes inductively from the data or apply a framework you already have, and keep the structure workable from the start.
Codes · HierarchiesDecide whether your codes emerge from the transcripts or come from theory, and be able to justify that choice in your methodology.
Apply the same code the same way at transcript five and transcript forty, rather than drifting as your thinking develops.
Record why you made each decision as you go. Memos are what turn a pile of codes into a defensible audit trail.
Memos · AnnotationsMerge, nest and prune when you have 200 flat codes, so the framework describes patterns instead of restating the transcripts.
Judge when further coding stops adding anything new, and how to talk about saturation honestly in your write-up.
Group and interrogate your codes until you have themes that answer your research question rather than summarise your data.
Run matrix queries to see how responses differ by role, site, gender or any attribute you recorded.
Matrix coding queryUse text and word frequency searches to test a hunch across the whole dataset instead of trusting your memory of it.
Text search · Word frequencyIdentify where two codes are applied to the same passage, which often reveals a relationship worth writing about.
Coding queryBuild charts, maps and diagrams that help you think, and select the few that genuinely belong in the thesis.
Charts · Project mapsUnderstand why a word cloud is a starting point and not a finding, and what to present to an examiner instead.
Write the analysis section so it names your approach, whether Braun and Clarke, framework analysis or grounded theory, and matches what you did.
Select illustrative extracts, attribute them to anonymised participants and weave them into argument rather than listing them.
Use memos, coding stripes and project history to evidence how you reached your themes when an examiner asks.
Coding stripesRun coding comparison and interpret the kappa result, including when your supervisor asks for inter-rater reliability.
Coding comparisonGet codebooks, coded extracts and reports out of NVivo and into Word in a form your appendix can actually use.
Reports · ExtractsPractise explaining your coding decisions and reflexivity so you can answer a supervisor or viva panel with confidence.
Not sure which stage your problem sits at? Tell us about your data and where the analysis stopped, and we will tell you before you book. If ethics approval limits what you can share, we can work from anonymised extracts or a screen share.
Your session can focus on one urgent question or form part of a longer learning plan. Common areas of support include:
Create an account on our platform powered by Teachworks LMS by sharing your academic needs, availability, and learning preferences.
Receive your secure login credentials and access your personalized student portal to manage your sessions, tutors, and learning progress.
Book your session, complete your secure payment via Stripe, and join your live, interactive lesson to begin your learning journey.
Leave with clearer priorities, suggested practice and the option to book further sessions.
Ideal for students needing help with basic or entry-level college material.
Tailored support for core and elective undergraduate courses.
Designed for master's level coursework and capstone projects.
Elite academic coaching for doctoral-level work and publications.
Tell us what you are researching, how much data you have and where you got stuck. Send your project file and the brief if you can share them. We will read it before we reply and match you with a tutor who works in qualitative research.
No guaranteed grades. No completed assignments. Educational tutoring only.
What Our Students Say
Feedback from students across the UK and US we have supported with NVivo, qualitative data analysis and dissertation research.
Get practical 1:1 support with SPSS, from data entry and cleaning to statistical tests, regression analysis, and interpreting results for your research projects.
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Get 1:1 support with RStudio for data analysis, statistical modelling, coding, data visualisation, and interpreting results for academic research projects.
Our NVivo tutoring covers project setup, importing and organising data, building and applying a coding framework, running queries, developing themes and writing up your analysis. Sessions work inside your own project rather than a generic practice dataset.
Send us your research question, a description of your data and where you are stuck. We read it before replying, match you with an NVivo tutor from a qualitative background, and book a live session at a time that suits you.
Current NVivo releases on Windows and Mac, including NVivo 14 and university licensed copies. The Mac and Windows interfaces differ noticeably, so tell us which you are running when you book. If you are on an older version such as NVivo 12, say so and we will match accordingly.
This is the single most common reason students book NVivo support. Coding is not analysis, and a long node list is not a finding. Sessions work through grouping, merging and interrogating your codes until you can state what the data is actually telling you.
No. Coding is interpretive work and it has to be yours, both for academic integrity and because you will be asked to defend it. A tutor teaches the technique, reviews your approach and helps you see patterns you may have missed.
Your NVivo project file if you can share it, a sample transcript, your research question and one line on what you have already tried. If ethics approval restricts sharing raw data, tell us and we will work with anonymised extracts or a screen share instead.
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