Our transcription team consists of professional transcriptionists only, who capture every nuance of your interviews in minutely detailed transcripts. Also, if you are working on transcription while balancing other demands on your time (e.g., parenting), the intermittent distractions can increase the total amount of time in transcription quite dramatically.Īt Precision, we are pleased to offer high-quality manual transcription services to our clients with a fast turnaround that works for any timeline (typically 1-2 days to transcribe, even for the largest of qualitative datasets). For example, if you completed interviews in locations with background noise, if your recording devices were not placed optimally, or if your participants spoke quickly or unclearly, you might find yourself replaying segments of speech repeatedly in an effort to determine what was said. This means that for the typical qualitative phenomenological dataset comprised of 12, 60-minute interviews, transcription can take up to 48 hours of your time, and in many instances even more.Īny novices who have tried their hands at transcription also know that the average of 4 hours of transcription time for each hour of audio can be steeply increased by certain factors. Manual transcription therefore remains the gold standard but is enormously time-consuming, requiring approximately 4 hours of transcription time for each hour of audio. Given this current state of transcription technologies, only the human ear can reliably interpret spoken communication in its multifold forms (e.g., figures of speech, slang, mispronounced words, sighs, laughter). Verifying the accuracy of your transcripts with participants, or member checking, is another process that is supportive of trustworthiness however, any errors that your participants identify in the transcripts will ultimately require you to return to numerous scattered points throughout the audio recordings to determine what they actually expressed in those segments of your interviews. ![]() The inadequacies of transcription software become clear when your transcript emerges peppered with words or phrases that do not clearly align with your research topic or, in the worst of cases, are completely nonsensical. The most common types of errors result from talk-to-text software misidentifying words due to unclear or muffled speech, differences in enunciation, background noise, homophones, or multiple persons speaking at once. In fact, many qualitative methods experts recommend verbatim transcription of interviews and focus groups as an essential step in supporting the trustworthiness of your qualitative findings.Īlthough recording and transcription technologies are improving, they are prone to errors that can adversely impact the accuracy of your qualitative data, thereby degrading the quality of your findings. ![]() ![]() Trustworthy and impactful qualitative research requires not only a robust data collection process that facilitates data saturation, but also highly accurate transcription of data prior to completing your qualitative analysis.
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