codeit

This feature automatically analyzes verbatim data using the latest generative AI technology to discover key themes and sentiment. Users can import data flexibly and extract topics with the click of a button, removing the need for complex prompts. The platform provides rich visualizations and allows for full human control to easily refine, edit, and adjust the extracted themes as needed.  

The software utilizes a human-led AI approach that learns from the user’s manual coding, treating it as training data for a bespoke model. Once trained, codeit applies autocoding to new data, potentially coding up to 80% of verbatims automatically. Users stay in control of the coverage and accuracy, ensuring the AI model is optimized for the specific project's nuances.  

The platform uses a ChatGPT-enabled tool to help kick-start coding projects by automatically generating a codeframe from verbatim data. This feature allows users to build the codeframe, generate coding suggestions, or autocode data by simply pressing a button. Users maintain control to manually refine and adjust the automatically applied coding based on their expert judgment.  

This feature provides a suite of in-built, pre-built integrations that connect directly to external software tools users are already utilizing. These connections simplify the process of pulling raw data straight into codeit for processing. Subsequently, the Data Links allow the tagged and coded data to be written directly back to the original source tool easily and quickly.  

This mode is a dedicated coding process optimized for recognizing patterns in single-word and short-phrase brand names. codeit utilizes specialized AI that learns as the user manually codes, progressively building a detailed codeframe. This automated learning process enables the software to autocode large volumes of new data at high speeds with both accuracy and precision.