Learn how to create and setup projects in CoLoop for qualitative research. Follow steps to upload research material, generate project descriptions, and optimize transcription for accurate analysis.
Start on your CoLoop home page and click New project at the top of the projects list.
Provide a descriptive project name (e.g., “First Time Voters Interviews”). Choose a name that reflects the topic, wave, or type of data so it’s easily recognizable.
Add project tags (optional but recommended). These are labels that will help you filter and search for the project later.
Choose a data storage region: United States, United Kingdom, European Union, or Australia. All are hosted on encrypted AWS servers and are equally secure. Select Europe to be GDPR-compliant. Choose the region that best fits your privacy needs. If your organization admin has enforced a storage region, this is pre-selected and cannot be changed.
The Discussion Guide should be in DOCX format and contain examples of the types of questions and discussion points your research focused on. This can also be used to automatically generate a project description (step 4).If you are not ready to add a discussion guide or project details, click Skip project setup for now to proceed to uploading or recording research material directly. You can return to project setup later.
Generate or write a project description based on this information
You can generate this if you’ve uploaded a discussion guide and provided some objectives or simply write it yourself. This description will serve as the AI’s ‘long term memory’. It will be used as context when answering any questions.
You can download transcripts by clicking Open then the 3 dots menu to the right of the title.
Coloop uses state of the art transcription models to convert English audio or video to text. The accuracy of this can be further enhanced by clicking Continue and providing the following optional information below.
Enter any brand names or keywords that appear in your discussion guide - CoLoop is trained on dictionary models so this will tell the tool to look out for atypical and non-dictionary terms.
The list does not have to be exhaustive - even providing a few can cause dramatic improvements. The list is saved throughout the project.
Once transcribed, CoLoop works out who is speaking and what role they played. A speaker it cannot place keeps its Speaker A label for you to name. Names the transcript settles land confirmed; the rest wait for you in confirming speakers. To rename across many files at once, see fixing speaker names and roles.
A speaker belongs to the file it was found in. The same name in two files is
two speakers until you merge them; two speakers with the same name and role
in one file are numbered apart, Amelia and Amelia (1).
CoLoop needs to know whether somebody is a researcher or a participant. This is so that the AI uses comments made by participants as supporting evidence, and researchers as context. Translator counts as research-side. Unknown means the role has not been settled, and a speaker carrying it cannot be confirmed.CoLoop can assign these automatically, but it may leave out some that are unclear, in which case you can edit them afterward. Change the role by clicking on the icon next to the speakers name in the transcript. If you aren’t sure or it isn’t clear choose participant.If you need to edit the speaker names, check out our guides on speaker labeling here.
Once you’ve set up a project, you’re ready to jump into the analysis grid or chat!
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