In this demo we show you how to go from free text data, to coded data using Generative AI that you can segment and visualize!
What is AddMaple?
AddMaple is a data analysis tool that runs on your system locally and gives you a new take on data exploration: FASTER, more fun & intuitive with zero risk of overwrites and errors 🎉
What use case exists specifically for AI Thematic Analysis?
Many datasets contain hard-to-analyze free text data
Three examples:
1. Customer Feedback, Employee, Market Research Survey data containing open-ended responses, customer support tool exports
2. Google Search Console exports with search query data, which can be analyzed to understand user intent, improve website content, and optimize for better search engine rankings
3. Support Ticket exports often contain detailed problem descriptions, customer inquiries, and troubleshooting steps in an unstructured text format. Coding this data can help in identifying common issues and improving support services
Why use a data analysis tool that supports generative AI for thematic analysis?
We can speed up the analysis of these datasets by using gen AI to help us code the data so that we can extract thematic insights to help further analyze the data.
Coding this free text data doesn't need to take hours. You can work with a research partner in the form of Generative AI to suggest codes apply them to thousands of records in seconds.
How AddMaple's Generative AI feature works for Thematic Analysis:
- Use Generative AI to get code suggestions after it speed reads the body of text
- Edit the codes
- Add your own codes, handy if you have an existing codebook
- When you're happy with the codes, use our AI feature for thematic analysis tp to bulk assign the codes to your text data
- Once your data is coded, you can segment your data and visualize your thematic insights in interesting charts, such as Likert scale charts.
Try it on your own data: addmaple.com
The Advantage of Using Generative AI for Thematic Analysis:
In short AddMaple allows you to work with AI as a research partner, refining the codes suggested by the AI, adding your own codes and then reassigning codes in bulk iteratively using AI.
Use the speed of AI to comprehend the context of free text and it's ability to suggest and assign codes in bulk using Generative AI. This allows you to get a head start on the coding so that you can spend more time deriving meaning as you group codes together, in order to develop your themes. Our segmentation tool is useful here. You can apply multiple filters to see how codes relate to one another, and in so doing, you further refine your codes while you develop your themes.
If you'd prefer to use your existing code book, you can do that by adding in your codes, and leaning on the AI to assign the codes to a new body of text.
10 мар 2024
