Now You Can Measure How Conversations Drive Work

Until now, Workspace Analytics measured one thing well: who recorded a conversation. If a teammate's notetaker captured the meeting, that teammate got the credit. But recording a meeting is only the beginning. The real value comes afterward, when conversations are read, shared across teams, and used with AI to answer questions and move work forward.

So what exactly is new?

Alongside the usage metrics you already track (ex: minutes transcribed, conversations created) you'll now see:

• Conversations Viewed: how many conversations a member opened and read, including ones they didn't record themselves.
• Conversations Shared by User: how many conversations a member shared out to teammates, channels, or the workspace.
• Conversations Shared with User: how many conversations were shared to them.
• AI Chats: how many times a member used AI Chat to ask questions, pull answers, and get more out of their conversations.

Together, these metrics give you a more complete picture of how conversations are viewed, shared, and used with AI across your organization.

Where it helps most

Watch knowledge spread across your team. Shared conversations turn one person's meeting into everyone's context. When sharing climbs, you're watching Otter become part of how your team actually operates, not just a tool a few people record with.

See your AI in action. Otter AI Chat is where a lot of Otter's magic lives: surfacing decisions, drafting follow-ups, answering questions across conversations. Now you can see who's already relying on it and point more of your team to it.

Understand how teams are using Otter. Compare how conversations are viewed, shared, and used with AI across your organization to spot opportunities for better collaboration and adoption.

Turn every meeting into reusable knowledge. A conversation's value isn't the recording,it's the follow-ups, shares, and questions that come after. These metrics show that long tail of value, weeks after the meeting ends.

See value add up. Every one of these numbers is a moment of work someone didn't have to do the hard way. A conversation viewed is a meeting stayed on top of without sitting through it. A share is a recap nobody had to write. An AI Chat is a search nobody had to do by hand.

The bigger idea

Work that gets recorded and work that gets used have always been two different things. One person's notetaker joins a call, but the whole team reads the notes, shares them, and asks AI follow-up questions for weeks afterward. That second layer whereeverything that happens around a conversation is where most of Otter's value lives, and it's the part analytics never captured.

Multiply a few views, shares, and AI Chats across every member and every meeting, and it adds up fast: real hours your team got back, and knowledge that keeps working long after the call ends. These new metrics finally make that visible. So instead of measuring the moment a conversation was recorded, Otter measures the value your whole team keeps getting from it.

Available now

The new metrics are live today for Business and Enterprise workspace admins. Find them under Manage Workspace → Analytics, or read the Help Center guide for a full breakdown of every metric.