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Quirkos, published by Quirkos Limited, is a qualitative data analysis software application designed to help researchers explore, code, and understand text-based data through an intuitive, visual interface. Currently available in version 3.1.0, the software belongs to the qualitative data analysis (QDA) category, serving fields where interpreting unstructured textual information is essential, such as academic research, social sciences, market research, policy analysis, and evaluation studies. The core purpose of Quirkos is to make the process of qualitative analysis accessible and straightforward, removing the steep learning curve often associated with traditional QDA tools. Its central approach relies on simple visual groupings, allowing users to organize and code text data in a way that is both easy to grasp and visually engaging. Rather than requiring extensive training or technical expertise, the software emphasizes usability so that researchers can focus on interpreting their data rather than learning complex software mechanics. Typical use cases include coding interview transcripts, focus group discussions, open-ended survey responses, field notes, and other forms of textual material, enabling researchers to identify themes, patterns, and relationships within their data. By supporting the exploration and coding of text through visual methods, Quirkos helps users develop a deeper understanding of the qualitative material they work with, facilitating tasks such as thematic analysis and the organization of research findings. The tool is positioned toward researchers who value simplicity and clarity in their analysis workflow, including students, academics, and professionals who may be new to qualitative software or who prefer a streamlined environment for their projects. With a single listed version, the current release 3.1.0 represents the present state of the software in the catalog. Overall, Quirkos provides an approachable, visually oriented solution for qualitative data analysis, combining ease of use with the essential functionality needed to code, explore, and make sense of text data in a wide range of research contexts.
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