How does codeit compare?

See how codeit compares with other verbatim coding tools

codeit is the only software that combines powerful AI automation with human control, flexibility and the professional features research teams need.

Feature codeit Other Tools
Most verbatim coding tools require blind trust with no meaningful way to control, check and refine AI generated output. codeit is different – it is the only software that allows you to move fast without giving up control. We have always sought to enhance the work of research experts, not just replace them with AI slop.

codeit gives research professionals the power to produce high-quality, accurate coding in minutes not hours.
Tim Brandwood, CEO, codeit
Tim Brandwood CEO, codeit

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What the industry is saying about codeit...

With codeit’s layered technology running under human supervision, we can fine tune the degree of automation being used, to ensure we’re coding with absolute confidence.
Chris Calas
Chris Calas DBM Consultants (Sydney, Australia)
Working with codeit has consistently delivered on both speed and accuracy, and the platform continues to be a reliable part of how we work.
Chris Stanton
Chris Stanton NEC Group (United Kingdom)
We found the codeit results insightful and helpful in exploring the key themes in detail.
Nicolas Schmidt
Nicolas Schmidt Assistance Publique Hopitaux De Paris (France)
codeit has optimized our research processes and opened new avenues for data insights. It's a valuable tool for any market research team looking to harness the power of AI while maintaining a hands-on approach.
Lori Rinderer
Lori Rinderer 7th Sense (London, UK)
It is quicker and more efficient than doing it in Excel, but what was even better were the reports and outputs of the coding stats.
Jill Elston
Jill Elston Insightful Research (Cambridge, UK)

Frequently asked questions

How do I upload my survey responses to codeit?

Data can be added easily to codeit by uploading a file (e.g. csv, Excel, SPSS). You can also connect codeit directly to your survey platform to automate the flow of data into codeit and back out again.

Is the codeit workflow fixed?

No. Coding means different things to different people and no two coding projects are alike. You can use the tools within codeit in any way you like to fit your requirements. You can go full AI, code manually or anything in between.

Can codeit generate a codeframe and autocode my data?

Yes. At the click of a button, the Extract process will automatically analyze your verbatims, build a suggested codeframe and autocode your data against that codeframe. You can use the AI output as-is or use our unique Refine interface to finesse the data in any way you need to.

How do I check the AI generated output?

codeit offers an industry-leading interface that keeps you fully in control and gives you full transparency over the AI generated output. You can view the data in multiple ways and easily make any changes and refinements needed.

Can codeit generate sentiment analysis?

Yes. The Extract process also assigns a 5 point sentiment score to any codes it applies based on the verbatim content. A sentiment breakdown can be analyzed using our Visualize page and raw sentiment data can be exported for analysis in other tools.

Can I just code manually?

Yes. codeit contains the best manual coding interface available and many people choose to use it to code purely manually. For example, when coding Adverse Events, manual coding is mandatory, so codeit is an ideal tool.

How does codeit work with spontaneous brand mentions?

Coding brand mentions is an entirely different challenge to coding full open ends. So, codeit contains dedicated tools optimised for the challenge of brand coding. A separate Extract process knows how to deal with this kind of messy data to extract a codeframe and autocode data. A dedicated Refine screen is designed to make it easy to work with large volumes of repetitive brand mentions from surveys.

Can I use codeit with my existing research workflow?

Yes. codeit is designed to fit neatly into existing systems and processes. It supports a wide range of import and export formats, so manual reformatting is not necessary. It also connects directly with many survey platforms, so data can flow seamlessly into and out of codeit with no manual effort.

What survey platforms does codeit integrate with?

codeit currently integrates directly with Forsta Plus (confirmit), Forsta Surveys (Deciper), Askia, SurveyToGo, Qualtrics, Questback, Cmix and Marketsight. We’re always on the lookout for new integrations so get in touch if your platform isn’t on the list.

Can I load data incrementally during live fieldwork?

Yes. This is one of the best ways to speed up the coding process – get ahead while fieldwork is still in progress. Our integrations allow you to synchronize data to and from codeit at any time during fieldwork. The file upload in codeit also supports interim files and codeit will automatically append new interviews.

Can multiple coders or researchers collaborate on the same project?

Yes. codeit makes it easy for multiple people to collaborate on the same project at the same time. For large projects this can massively speed up projects as people can work in parallel – e.g. by dividing up a project between linguists by language.

How do I export my coded responses for further analysis?

codeit offers a wide range of export formats to meet real world Market Research needs. Alternatively, you can connect codeit to your survey platform so coded data flows automatically directly back again – no file exports required!

How can I handle multilingual responses from surveys?

If your survey contains data in multiple languages you can either work with the data in its native language or use the codeit translation feature to auto-translate responses into your chosen language as part of the import process.

How many languages does codeit support?

codeit supports over 130 languages for auto-translation.

How does codeit learn from my data?

The codeit AI system automatically builds a bespoke machine learning model based on your coded data and codeframe. Coded data is ideal for training machine learning because is shows the AI exactly how you want your data coded – including all the implicit and unwritten rules within. Once trained on your data, the AI can apply the machine learning model to code new verbatims.

Why is machine learning better than other approaches?

Machine Learning is specific to your project, codeframe and data. It follows your example and learns the unwritten rules and logic of your coding. It can then accurately apply its learning to code new verbatims the way you would code them. General purpose AI (like ChatGPT) doesn’t know your data so doesn’t understand the nuance and implicit rules of your coding in the way that Machine Learning can.

Photo for: The Future Belongs to Human-Centred Tools: Lessons from Verbatim Coding

The Future Belongs to Human-Centred Tools: Lessons from Verbatim Coding

The future of AI lies in tools that amplify, rather than replace, human judgment.

The future of AI lies in tools that amplify, rather than replace, human judgment. Learn how codeit exemplifies this approach - combining automation with human-led refinement & interpretation.

Read More

Serious researchers are choosing codeit

Try codeit for free for 30 days, cancel at any time.

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