The award-winning qualitative data analysis software and research manager from Cambridge University!


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Welcome, and thanks for taking an interest in Qiqqa.

Most qualitative data analysis (QDA) revolves around the coding and recoding of endless PDF files.

Qiqqa helps you make the best use of your time by taking the pain out of coding and tagging large PDF collections.

From Wikipedia: Coding is an interpretive technique that both organizes the data and provides a means to introduce the interpretations of it into certain quantitative methods. Most coding requires the analyst to read the data and demarcate segments within it, which may be done at different times throughout the process. Each segment is labeled with a "code" - usually a word or short phrase that suggests how the associated data segments inform the research objectives. When coding is complete, the analyst prepares reports via a mix of: summarizing the prevalence of codes, discussing similarities and differences in related codes across distinct original sources/contexts, or comparing the relationship between one or more codes.

Qiqqa handles it all. Seamlessly! And at a fraction of the cost of other QDA software such as NVivo™ and ATLAS.ti™ . Loaded with features like tagging, autotagging, automatic themes, annotating and brainstorming, Qiqqa makes it easier to do your qualitative research, to write papers and theses, and to produce better results.

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Hard Facts

Universities Represented

Times Downloaded

Total PDFs Managed

Total Tags/Codings

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Most Pertinent Features.

While we pride ourselves in the breadth of research management tools built into Qiqqa, here is a subset that we feel are most important to supporting better qualitative research:

Comprehensive management of your library of PDFs.
State-of-the-art PDF Reader with full-text-search, tagging, highlighting, annotating, recommendations.
Instant Google-like full-text search across all your PDFs and libraries.
Simultaneously tagging/coding/recoding multiple PDFs while filtering your library by search, tag, theme, or document metadata (title, etc).
Automatically suggesting tags and themes for each PDF using artificial-intelligence.
PhD-backed relevant recommended reading algorithms.
Explore your PDFs like never before with brainstorms.

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Awards we have won these past four years!