How to Transcribe an Interview for a Qualitative Study

Transcription is an essential step in any qualitative study. Whether you are conducting user interviews, focus groups, HR interviews or field research, turning recordings into analysable text is often the most time-consuming part of the process.

Manual transcription typically takes three to five hours of work per hour of audio. This guide covers the methods available and how to choose the right one for your context.

Why Transcription Quality Matters

A poor transcription can compromise your entire analysis. Errors, omissions, or imprecise punctuation can alter the meaning of a verbatim quote. A faithful transcription preserves nuances, hesitations, and spontaneous phrasing, all of which carry meaning in qualitative work.

The question is not just how to transcribe quickly, but how to transcribe accurately.

Three Transcription Methods

1. Manual Transcription

The researcher or analyst listens to the recording and types the text, usually using playback software that allows slowing down the speed (Express Scribe, oTranscribe, etc.).

Advantages: full control, no machine errors, works well with poor recordings or heavy accents.

Disadvantages: extremely time-consuming, fatiguing, expensive if outsourced.

2. Automatic Transcription

Tools like YobiYoba use speech recognition to generate a transcript in minutes. The analyst then reviews and corrects it in an integrated editor.

Advantages: significant time savings, lower cost, export to multiple formats.

Disadvantages: requires proofreading, less accurate with noisy recordings or very strong accents.

3. Outsourcing

Delegating transcription to a human service provider. Useful for large volumes or complex recordings.

Advantages: potentially high quality.

Disadvantages: high cost, turnaround delays, data confidentiality concerns.

Full Verbatim or Cleaned Transcription?

Two transcription levels are used depending on your needs:

Full verbatim captures everything: hesitations (uh, um), repetitions, overlaps, silences noted in seconds. Essential for conversation analysis, linguistic studies, or in-depth academic research.

Cleaned transcription removes oral fillers to make the text more readable. Better suited to UX interviews, market research, or HR interviews where content matters more than form.

Define your required level before you start. Going back is costly.

Anonymisation: An Often-Overlooked Obligation

Every qualitative study comes with ethical and legal obligations. Personal data from participants (names, employers, locations, sensitive statements) must be anonymised before any processing, sharing, or archiving.

Some transcription tools allow anonymisation directly in the editor, masking audio segments and replacing identifying information in the text. This is particularly important in HR, medical, or academic contexts.

Export Formats by Use Case

Depending on your workflow, you will need different formats:

• .txt or .docx for thematic analysis in a word processor
• .csv for import into qualitative analysis software (NVivo, Atlas.ti, Dedoose)
• ELAN or PRAAT for phonetic analysis or corpus linguistics
• SRT for subtitling a video or filmed interview

Check that your tool supports the formats you need before processing an entire corpus.

How Long Does Automatic Transcription Take?

With a tool like YobiYoba, one hour of audio is processed in a few minutes. Proofreading and corrections then take 20 to 40 minutes depending on recording quality, compared to 7 to 10 hours manually.

For ten one-hour interviews, that represents a saving of 60 to 90 hours of work: time you can spend on analysis rather than typing.

Tips for Better Automatic Transcription Results

• Record in a quiet environment using a lapel microphone or a dedicated recorder
• Avoid simultaneous cross-talk: speaker diarisation is sensitive to overlapping speech
• Speak clearly, without over-articulating, but avoid swallowing word endings
• Name speakers at the start of the recording to help the diarisation process

Conclusion

Automatic transcription has transformed the way teams run qualitative studies. It does not replace human judgement: proofreading remains essential. But it removes the most tedious part of the process.

The key is choosing a tool that fits your context: type of study, required export format, anonymisation needs, and volume to process.