Once a meeting transcript is done, you're often staring at a wall of text. Want to isolate everything a product manager said about requirements? Or pull together all of your boss's feedback on a particular proposal? Your only option used to be scanning line by line with your own eyes—slow, tedious, and way too easy to miss something.

The new Speaker Filter feature fixes that.

Quickly filter the transcript by speaker. In the transcript section of any meeting detail page, just tap the speaker filter button and select who you want to hear from. The system instantly surfaces every single comment that person made throughout the entire meeting, in chronological order. Everyone else's contributions are temporarily hidden—so you can focus on that one person's full train of thought without distraction.

Filter + Search = pinpoint precision. Once you've filtered by speaker, you can layer on a keyword search within that subset. For example, filter to “Product Manager,” then search for “timeline”—and boom: every single product manager comment that mentions timelines, all in one place. Fast and dead-on.

Multi-speaker filter for side-by-side comparison. Need to compare perspectives across roles or departments? Select multiple speakers at once and their comments appear together for easy side-by-side reading. No more flipping back and forth—just a clean, direct comparison of where everyone stands.

Export filtered results for sharing and archiving. The filtered view isn't just on-screen—you can copy it or export it as a text file with one click. Project managers can pull out just the client's feedback and send it straight to the team. HR can compile all interviewers' comments in seconds. No more manual cutting and pasting.

For anyone who regularly pulls together meeting notes, assigns action items, or reviews discussion threads, the Speaker Filter changes the game: you no longer have to dig through pages of text to extract one person's voice. Want to know who said what? Just click the name. Meeting records evolve from “full-text browsing” to “person-based review”—drastically improving both efficiency and accuracy.