Nvivo allows users to import their interview data in various formats.
If research data also has demographic information such as age, gender, etc. users will need to create both cases (to represent the participants) and case classifications (to reflect demographic attribute values for each participant). The next step would be creating codes for the interview questions. These actions would require multiple levels of manual coding before starting the thematic coding process.
In this video I am suggesting a different approach to format interview data before importing them into Nvivo, which will be easier and faster way.
If you are not going to use Nvivo Transcription feature, instead of transcribing your interviews as Word files, I would suggest to put all demographic data and interview questions into a single Excel file. This way will allow you to
1) Have your data imported as an Excel file,
2) Create your cases
3) Assign attribute values for each case
4) Auto-code your interview questions
with a single import process.
I tried to show both approaches for you to be able to compare. I attached a sample excel file for your reference.
Hope this helps,