(Blechynden, 2020) (Whittaker, 2018) We experienced similar success, achieving reliable transcripts. According to TechRadar and other well-established internet reviewers, Otter offers between 85% and 95% accuracy in transcriptions. We review some of our observations of this tool below: Reviewing the transcripts in Otter’s platform, we filled in any gaps in our notes by referring to timestamps of the text making it easy to verify outstanding questions.įor your own experience with the interface, check out our sample conversation on Otter’s platform: While we could download the transcripts to Word documents, for our research, we primarily used the web-based platform to access Otter’s features. In this case, we conducted note-taking as we regularly would and relied on Otter to complement our existing process. In a recent study we evaluated various transcription services as part of our UXR process including Otter.ai.įor each session, our team took notes on significant terms, phrases, and concepts and included timestamps to refer back to minutes we missed in the moment. Otter is one online transcription service that converts audio files - simply upload digital files to Otter’s online portal - into relatively legible and searchable text files. This leaves a team with more time to evaluate the content and provide insights. Instead of spending hours transcribing qualitative data the team can outsource transcription to a service. In qualitative UXR, transcription services can significantly reduce the workload on a team. How do we compensate? By introducing efficiency through transcription tools to make the most of existing resources. However, sometimes a project requires greater efforts than initially scoped - perhaps a client introduces a new hurdle, or maybe your team of many is reduced to a team of one - and your resources are spread thin. In the world of user experience research (UXR), we allocate and expend significant resources to conduct qualitative data analysis.
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