Convert open-ended data into quantitative codes with Phonic.
Phonic is a platform that aims to bring better insights from Qualitative data. One of the ways we do this is with topics.Topics can be extracted from new data automatically, they can be assigned manually, or a custom auto-classification can be done on classes you specify once data is collected.
Automatic topic extraction can be enabled in the survey builder under the Analysis section of question configuration. When this option is selected, topics will be extracted from any new responses according to a generic set.
Manual topic extraction
Topics can also be generated manually using the tools within Phonic. Under survey results, if the topics feature is enabled, you'll have the ability to manually apply topics to each response. This can be done in addition to any automated topic extraction to enhance accuracy.
Phonic also provides some additional tools to make manual labelling easy. Merge, add, rename, and delete themes all in the Themes tab of your survey results.
The final way to apply themes to your data in Phonic is to use auto-classification. Here, you'll have the ability to specify a list of topics under which you'd like to classify the rest of your data. Simply visit the 'topics' tab in survey results, and click the button titled Auto-Classification. You'll be greeted with a popup asking for a list of themes. If you'd like to try out a few classifications before running on your entire dataset, we recommend sampling your data and running some tests here.
Simply click Try a Sample and then Load a Response. Enter a few classes and click Run Sample to see some results. Once you're happy with the classes you've selected, click Run Classification to start the classification job.