Personally I think you would be better off using AI later on in the process. Read the transcript, find the quotes that are related, then stick them into an AI to see if they suggest themes/sub themes. At this point you will have knowledge of your transcripts and can make adjustments. LLMs are also going to be much better at naming themes than identifying themes from within multiple transcripts, which it would only do at the most superficial level. No AI has the ability to do this. They just aren't designed to. If you use AI too early you limit yourself. You know what the literature already says, the AI won't know that the 85th line is very similar to what was mentioned as a limitation in Smith (1998) and so won't flag that. In addition, using AI can bias you when you do get round to doing your own analysis. You are more likely to find things that match the themes it has identified, which, as we have already established, will be superficial. Answer from sendmethere on reddit.com
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Thematic
getthematic.com › insights › thematic-analysis-software
Thematic Analysis Software: 5 Top Tools & How It Works
October 16, 2024 - Coding and annotation: The ability to code and annotate qualitative data is essential for identifying patterns, themes, and meanings. This feature helps in systematically categorizing data for deeper analysis. Data analysis: Qualitative data analysis software offers various techniques, such as content analysis, thematic analysis, and discourse analysis, to analyze your data.
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Reddit
reddit.com › r/phd › what ai software can help in thematic analysis?
r/PhD on Reddit: What AI software can help in thematic analysis?
May 2, 2025 -

Hi all

Im a Phd student and starting on my thematic analysis now after data collection. The nature of my research is purely qualitative and I have one hour long interview transcripts that I plan on coding using NVivo eventually. I have noticed AI is a but helpful to streamline my thoughts. As a researcher I dont really trust chatgpt with anything lol and am definitely not looking for AI to do my analysis. I was wondering if anyone has used any softwares that can identify patterns or themes etc roughly? I dont want AI to do my work and I am not relying on it I just want to use it to understand my data better if that helps. I overthink a lot so i have noticed notebooklm helps me structure transcripts etc. For the lack of a better statement lol I just want to speed up the process a bit if it makes sense. Any help, advice or recommendations would be great!

Top answer
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Personally I think you would be better off using AI later on in the process. Read the transcript, find the quotes that are related, then stick them into an AI to see if they suggest themes/sub themes. At this point you will have knowledge of your transcripts and can make adjustments. LLMs are also going to be much better at naming themes than identifying themes from within multiple transcripts, which it would only do at the most superficial level. No AI has the ability to do this. They just aren't designed to. If you use AI too early you limit yourself. You know what the literature already says, the AI won't know that the 85th line is very similar to what was mentioned as a limitation in Smith (1998) and so won't flag that. In addition, using AI can bias you when you do get round to doing your own analysis. You are more likely to find things that match the themes it has identified, which, as we have already established, will be superficial.
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If you simply need an AI to find coarse-grained themes across a conversation, just pick an LLM with a large enough context window to fit your data. Feed in your text, preceded by a precise prompt, and see if the output is useful. I get that you don’t trust ChatGPT due to its data policy, but if your goal is to get the best output, you’ll probably need to rely on one of the major models (ChatGPT, Claude, Gemini, etc.). If you need something more fine-grained than, say, "divide into paragraphs, list key themes per paragraph, and group paragraphs by themes", then I’d actually suggest not using AI for this kind of qualitative analysis. Mainly because it lacks the personal, specific contextual knowledge — your inductive bias, your oriented perspective on the object of study — which is exactly what would make your qualitative research valuable and original. When you’re looking at your data, you already have certain priors and research questions in mind, and that context is what gives depth to your interpretation. In any case, always double-check! Let us know how it goes
Discussions

For those who have done qualitative research with thematic analysis, is Atlasti a good tool for this purpose?
Frankly Google sheets was the best tool we used. More on reddit.com
🌐 r/AskAcademia
14
28
August 27, 2022
What is your favourite free qualitative data analysis software?
I have no idea if R is something that applies to this, but we’re using it exclusively for an upcoming management data analysis course. It’s free and works on Mac. More on reddit.com
🌐 r/GradSchool
28
23
January 3, 2022
What are your thoughts on using AI to do thematic analysis?
AI tools can definitely help streamline the thematic coding process. I don't think they can automate the process, i.e. they can augment, not replace. Disclaimer: I am from the Looppanel team so may have a potential bias. AI capabilities with respect to text have improved significantly over the last couple of years. What works reasonably well is breaking down the broad task of thematic coding into smaller sub-tasks and then integrating AI into a workflow based on such a blueprint. Obviously, the core idea needs to be automating the tedious parts and not replacing the UX researcher. In addition, the final say on the output must be that of the human as of today. A feature like Figjam's 'sort stickies' can theoretically be helpful to reduce the cognitive load and speed up the analysis process. The output's quality isn't high enough though. That results in the researcher/designer doing the work from scratch anyway. That's where specialized tools like Looppanel can step in. More on reddit.com
🌐 r/UXDesign
22
6
December 12, 2023
Best Software for Qualitative Interview Analysis
We used to work with Atlas TI . Didn't have much to compare, but it was fine to work with. Edit: This is some expensive piece of software ($100/y student license). Maybe you can look into a website that offers a yearly student subscription for cheaper.. We had the option to use it trough the license of the university. If this isn't an option, I hope someone will recommend something more affordable.. More on reddit.com
🌐 r/sociology
14
7
July 14, 2018
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guides.ucsf.edu › QualitativeResearch › Software
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PubMed Central
pmc.ncbi.nlm.nih.gov › articles › PMC8457694
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Published   May 19, 2023