Qualitative analysis for research and teaching

For experienced qualitative researchers in universities and higer education, we aim to make the best coding and analysis experience for both those familiar with qualitative software, and researchers more comfortable with pen and highlighters. Whatever your approach and methodology, Quirkos is designed to become a transparent tool that brings you closer to your text-based data.

qualitative books for analysis

Upgrade from paper

If you prefer doing qualitative analysis with pen and printouts, Quirkos is designed to be a natural experience, with an interface that mimics the action of coding with highlighters, keeping you close to the data with live visual representations of your emerging data. You can even export your data at any time as a colour highlighted Word file, and print it out with all your colour-coding intact. It's quick to learn, and flexible so that you can work as you want.

Yet Quirkos also brings all the advantages of software analysis, including fast keyword search, the ability to manage dozens of sources and find quotes, live collaboration and of course full undo/redo capabilities.

Powerful coding and analysis tools

Even if you are experienced with other qualitative analysis packages, you will find Quirkos is a fresh approach. The quick visual drag-and-drop interface and keyboard shortcuts makes coding quick and painless. There is great flexibility for rearranging and grouping your thematic nodes, and a design that tries to be neutral but facilitate lots of different analytical approaches from IPA, framework or grounded theory.

Running searches or queries to show a sub-set of the data is quick, with live views that show you connections in the data emerging in real time. Side-by-side comparison views show you graphical and text based differences in groups, and allow for the integration of discrete or quantitative data.

With the Quirkos cloud subscription, you also have the option to store your data in our secure remote server, so you can access your projects on any computer where you login. You can also do collaborate analysis with other researchers as part of a team, seeing live updates and chat as you work. The live project sharing can also be amazing for virtual or online teaching of qualitative analysis in a collaborative environment.



side by side analysis view
  • static licences
    Offline Licence
  • £240   €280   US$340


    One-off fee per computer

  • Download and try for free
  • Offline data storage
  • Licence for single computer
  • Perpetual licence
  • Buy Now
  • cloud licences
    Quirkos + Cloud
  • £12   €13   $14


    per user per month

  • Signup for free trial
  • Cloud data storage
  • Unlimited projects & live sharing
  • Login on any computer
  • Includes software and storage
  • Buy Now

Quirkos was designed by a team of qualitative researchers from academic backgrounds, with extensive experience in qualitative analysis using a variety of approaches. We aim to advance the field of qualitative research by enabling more people to take part in qualitative analysis, and to challenge the way qualitative data is conventionally disseminated.

We wanted software we could use on any kind of computer - Windows, Mac or Linux, with the same interface and compatible files. We also wanted software that looked less like a spreadsheet, was easier to learn, and reliably saved our data as we went along. It also needed to be cheap enough that large teams, including participants and co-researchers could get involved, and have a perpetual license that wouldn't run out during the writing up stage!

Finally, we wanted to enable end-to-end participatory research. Should you wish to engage participants in the analysis process, Quirkos is easy enough to use that anyone can take part in qualitative analysis. Either use analysis as a data collection event, or allow participants to code their data themselves, see what themes are important to them, and validate thematic triangulation.

Ready to give Quirkos a try? Download a one month free trial today for Mac or Windows.