During our interviews, all data is presented in words. Each point and
sentence is a piece of information. We must rely on something other than our
subjective and limited memory to process this massive data. Therefore, it
needs to be properly collected in a structured manner for any further
analysis and documentation.
We recommend two participants in each interview, one conducts the interview,
and the other takes notes and preps the process.
How to collect qualitative data?
Build the empty board on Miro or similar based on the drafted interview
guideline (cluster each topic and prepare empty sticky notes)
Use the tool Otter.ai (details below) to record and produce a real-time
transcript.
Take detailed notes directly on the board (each sticky note is one piece
of information)
After the interview, go back and check whether the interview notes are
intact, and fill in details on important questions.
Users can leverage Otter AI's real-time voice transcription tool to
efficiently record and summarize notes from interviews or meetings. This
tool enables hands-free note-taking, enhancing user participation in
interviews by allowing them to concentrate on engaging directly with the
interviewee.
Key Workflows:
Initiate Recording: Launch Otter.ai and start recording
the interview.
Engage in the Interview: Actively participate in the
conversation with the interviewee while Otter.ai records and transcribes
the audio in real-time.
Highlight and Annotate Key Points: During the interview,
use Otter.ai's annotation and highlighting features to mark important
points, questions, or action items.
Review: After the interview, review the transcript,
annotations, and Otter.ai's summaries. Chat with OtterPilot for instant
feedback on key points and decisions.
Share and Export: Share the interview recordings,
transcriptions, and summaries with team members for further analysis or
follow-up actions.
Other Inspirational Tool:
iFLYREC
Real-time audio transcription software for Mandarin, supporting real-time
translation in 9 languages.