Back office ops · Production

Glacier Media saves 30 minutes to an hour per interview with Otter.ai transcription

The problem

Glacier Media's editorial staff manually transcribed interviews and press conferences, with no central repository for transcripts and concerns about legal protection for court and current reporters.

Workflow diagram · grounded in source
1
Journalist records interview
trigger
“our journalists are using Otter to record their phone interviews, albeit using the computer while they're on the speaker”
2
Otter auto-transcribes recording
ai_action
“their transcripts are typically completed within minutes of their interview ending, saving them 30 minutes to an hour per interview”
3
Reporters search past transcripts
output
“quickly skim and scan past transcripts for quotes to use in their reporting”
4
AI improves voice recognition
feedback_loop
“Otter's AI-driven capacity for learning means that the tool gets smarter in terms of recognizing voices and typos the longer your team uses it”
Reported outcome

Reporters now record 15-20 hours of interviews monthly with Otter, with transcripts completed within minutes of interviews ending and saving 30 minutes to an hour per interview compared to manual transcription.

Reported metrics
Monthly interview hours recorded15-20 hours monthly
Time saved per interview30 minutes to an hour per interview
Transcript completion timewithin minutes of their interview ending
1-hour interview transcription timedone in 10 minutes
Reported stack
Otter
Source
https://otter.ai/case-study/glacier-media
Read source ↗

Frequently asked questions

What did this team achieve with this AI workflow?

Reporters now record 15-20 hours of interviews monthly with Otter, with transcripts completed within minutes of interviews ending and saving 30 minutes to an hour per interview compared to manual transcription.

What tools did this team use?

Otter.

What results were reported?

Monthly interview hours recorded: 15-20 hours monthly; Time saved per interview: 30 minutes to an hour per interview; Transcript completion time: within minutes of their interview ending; 1-hour interview transcription time: done in 10 minutes (source-reported, not independently verified).

How is this back office ops AI workflow structured?

Journalist records interview → Otter auto-transcribes recording → Reporters search past transcripts → AI improves voice recognition.

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