Otter AI

Transform transcripts into searchable, tagged customer evidence.

Overview

Otter is an AI-powered meeting assistant that records, transcribes, and summarizes voice conversations. It is widely used for interviews, internal meetings, and customer discussions. Teams rely on it to save time on note-taking and capture what was said. For CX teams, Otter helps document customer conversations, but its summaries and transcripts often stay siloed. Without context, that data becomes difficult to apply to decision-making or journey improvements. Otter captures full transcripts, highlights, and AI-generated summaries from meetings and interviews. It includes timestamps, speaker identification, and keyword detection. This raw voice data is useful, but only when teams can link it to the problems they are trying to solve. Most of the time, Otter’s content sits in folders or shared links and is only referenced once.

What this integration enables in TheyDo

Bringing Otter data into TheyDo makes the raw conversation content more useful than working from summaries alone. Teams can unpack feedback in the context of journeys, tag key moments by issue or persona, and reuse insights when new problems or journeys emerge. Instead of scanning through static notes, you work with structured, connected customer insight. The data becomes organized, searchable, and ready to support action across CX, product, and strategy.