Focus group transcription: what automation handles, and what still needs your ears
Focus groups are the hardest test of any transcription tool, so here is the honest version.
With one voice speaking at a time and a decent microphone, Sonix separates participants reliably and keeps each turn attributed as the conversation moves around the table. You can rename six speakers to participant codes in one pass and search every group in the project from one box.
What needs review
Crosstalk is where every automated system, Sonix included, loses precision. When two participants talk over each other, expect merged or misattributed fragments in those moments. The timestamped editor makes the cleanup fast: play the disputed seconds, fix the label, move on. Plan a verification pass on overlapping segments before you code, the same pass most methodologies already require.
Stack the odds in your favor
Use an external microphone placed centrally, open with a ground rule about speaking one at a time, and have the moderator use names so voices get anchored early. For how automated speaker separation works, see the speaker diarization guide.
NVivo, ATLAS.ti, and MAXQDA: export, then import
Sonix is not a CAQDAS tool and does not write native project files; it produces the clean, structured transcript those tools are built to import.
The workflow is export, then import, and it preserves the two things coding depends on: speaker turns and timestamps.
Export formats, as documented
Sonix exports to 18+ formats, including DOCX, TXT, PDF, SRT, and VTT, with options to include speaker labels and timestamps at the interval you choose. The export menu includes a dedicated NVivo export that keeps speakers and timestamps intact, and the API adds TXT, SRT, VTT, and JSON for teams automating a pipeline. The interview transcription guide walks through the generic interview workflow.
NVivo
Use the NVivo export, or a Word export with speaker labels on. NVivo reads the speaker-formatted transcript, so you can autocode by speaker and filter a focus group down to a single participant's turns.
ATLAS.ti and MAXQDA
Both import Word and plain text documents. Export DOCX with speaker labels and timestamps, import, and code as usual. Keep timestamps on if you want to pair the transcript with its media file inside your analysis tool.
One honest caveat: the live export menu decides the final format list, and it grows with the product. Check it on your first file before you standardize a protocol for your lab.
When your methodology requires true verbatim
Thematic analysis usually wants a clean read; discourse analysis, conversation analysis, and some IPA work need every um, false start, and repetition, because the hesitation is data.
Sonix captures full verbatim transcription automatically: filler words, false starts, and repetitions are preserved rather than smoothed away, with word-level timestamps throughout. If your protocol specifies verbatim, you do not need a separate vendor or a premium tier for it.
Document your choice of verbatim or clean transcription in your methods section, and apply it consistently across the dataset. If you need the clean read instead, edit the fillers out in the browser editor and the timestamps still hold.









