how to transcribe interviews

Choosing how to transcribe interview audio is less about chasing a “perfect” text and more about matching transcription detail to the study’s purpose. Two opposing approaches sit at either end of a continuum: naturalism and denaturalism. Naturalism treats transcription as a near-recording of real talk, aiming to preserve everything—stutters, pauses, nonverbal behaviors, and vocal fillers like “um”—so the written record mirrors the interaction as closely as possible. Denaturalism, by contrast, prioritizes meaning over delivery. It produces a smoother, more readable transcript that captures what was said while omitting many performance details, using only selective markers (often in brackets) for elements like laughter, sarcasm, or unusually long pauses.

This choice matters because small transcription decisions can shift how readers interpret what participants meant. The transcript example drawn from a patient–doctor exchange illustrates the stakes. In a denaturalist-style version with fewer behavioral cues, the patient appears satisfied with the doctor’s recommendations. When a more naturalistic approach is used—adding shrugging shoulders, hand slaps, laughter (including the possibility of nervous laughter), and extended pauses—the interaction reads differently. The same underlying audio can lead readers to doubt the patient’s satisfaction once nonverbal signals and timing are represented. In other words, transcription isn’t just documentation; it becomes the text through which others reconstruct the interaction.

That responsibility is tied to validity. Since the transcript may be the only material available to readers, it must function as a valid representation of what occurred in the real situation. The appropriate level of detail depends on whether the research needs conversational nuance (for deep conversational analysis) or whether it mainly needs content that supports later tasks like member checking. Member checking is highlighted as a reason to keep transcripts clear enough for participants or stakeholders to verify interpretations, even when performance features are minimized.

Attempts to standardize transcription—so everyone uses one universal set of conventions—run into practical and theoretical problems. Different researchers hold different assumptions about what transcription is for and what counts as “good” transcription. Those assumptions often track broader worldviews. Positivism tends to support the idea of objective transcription: that accurate, faithful representation is achievable. Interpretivist traditions lean toward the view that transcription is inevitably shaped by individual interpretation, making fully objective transcription impossible.

Overall, the core takeaway is that transcription strategy should be deliberate. Researchers should decide where they fall on the naturalism–denaturalism continuum based on study aims, the kind of meaning they need to preserve, and the interpretive stance they bring to the work—rather than relying on a one-size-fits-all convention.