You hang up on a 45-minute client call with eleven things to do and a memory that has already gone soft around the edges. That’s the exact problem Otter.ai exists to fix, and it fixes it well once you’ve set it up properly. Most people install it, hit record, and then get annoyed because the transcript is a wall of “yeah, so, um” and misheard surnames. The tool isn’t the issue. The setup is.
What follows is the sequence I’d hand a new teammate: what to configure before your first call, how to run a recording without thinking about it, and how to turn a raw transcript into notes you’d actually be happy to send. Concrete steps, concrete examples.
Five minutes of setup that pays for itself
Otter works out of the box. It works noticeably better after you tell it about your world.
Connect your calendar first
In settings, link your Google or Microsoft calendar. This does two things that matter. Otter can join Zoom, Google Meet and Teams calls automatically, and every recording arrives tagged with the meeting title, attendees and timestamp. Skip this step and you end up with loose audio files you have to name yourself at 6pm on a Friday.
Worth knowing before you commit: the free tier gives you 300 transcription minutes a month, capped at 30 minutes per conversation. That’s fine for testing the workflow, not enough for a full week of client calls. If you want the wider picture of what the assistant does and who it’s built for, there’s a solid overview of the AI meeting assistant that takes notes so you don’t have to. This guide is about getting real output from it.
Feed it the words your team actually uses
Every company has vocabulary that trips up transcription software. Product names, client names, internal acronyms, that one colleague whose surname is spelled nothing like it sounds. Otter lets you add custom vocabulary terms in settings. Spend five minutes doing this and your transcripts stop reading like a game of telephone.
- Client and company names you say out loud every week
- Product, project and codename references
- Industry jargon and acronyms, spelled the way you write them
- Attendee names, especially unusual spellings
Running your first live meeting
Three habits separate a clean transcript from a messy one.
Start from the calendar, not the app
If you’ve connected your calendar, Otter shows the meeting and offers to join. Click that rather than opening the app separately and hunting for a record button. It takes about ten seconds longer to set up and saves you from orphaned recordings with no context attached.
Say names and numbers out loud, once
Otter handles a normal back-and-forth conversation well. Where it struggles is with the things that matter most: figures and proper nouns. If someone says “the renewal comes to fourteen two fifty,” you’ll get something you have to interpret later. If they say “fourteen thousand two hundred and fifty dollars,” you won’t.
Same with names. A quick “that’s Priya, P-R-I-Y-A” early on saves you editing later. It feels slightly odd the first time. You get over it by meeting two.
Let it run and stop babysitting
The temptation is to watch the live transcript scroll past and fix errors as they appear. Don’t. You’ll miss the conversation you’re supposed to be leading. Cleanup is a separate pass, and it’s much faster than real-time correction.
Turning a transcript into something you’d actually send
A 3,000-word transcript is not a deliverable. Otter’s summary tools are where the hours come back.
After a recording finishes processing, you get four things worth using:
- Summary — a short written overview of what the meeting covered. Usually accurate on themes, occasionally vague on specifics.
- Action items — extracted to-dos, often with the person who committed to them attached. This is the feature people pay for.
- Highlights — the moments you and your guests marked during the call, if anyone hit that button.
- Chapters or outline — topic breaks through a long recording, which makes a 70-minute session navigable.
Here’s the workflow that works: read the action items first, then skim the summary, then open the full transcript only for the specific sections the first two raised questions about. Ten minutes, tops, for a call that ran an hour.
One rule I’d tattoo on the wall — never forward auto-generated action items without reading them. If a client said “we could potentially look at that in Q3,” you do not want your summary telling the team they’ve committed to a Q3 deadline. The summariser is a drafting tool, not a decision-maker.
Finding things again six weeks later
This is the part people underrate. The value of Otter.ai compounds when you’ve built up months of conversations, because you can search all of it.
A real example from my own habit: a client asked why we’d landed on a particular pricing structure back in March. Instead of digging through email, I searched the phrase I remembered them using and had the exact exchange in about four seconds. The quote, the date, and the person who said it.
Search works on your keywords, and the built-in assistant answers plain-English questions like “what did we agree about the launch date?” across your recordings. Neither is perfect on nuance, but both are dramatically faster than reconstructing a conversation from memory or a messy email thread.
Automating the parts you’d otherwise forget
Once recording is a habit, shave off the manual steps.
Push notes where your team already lives
Connect Otter to Slack, Notion or your CRM so summaries land in the channel or page where people will see them. Notes that require someone to log into a separate tool may as well not exist.
Handle recurring meetings as a batch
Your weekly standup, your Monday pipeline review, your fortnightly client check-in — these produce near-identical note structures every time. Tag them consistently so a single search pulls the whole series. When someone asks “what’s changed since January?” you have a chronological record instead of a shrug.
Where new users go wrong
Almost every bad Otter experience traces back to one of these.
- Laptop microphone in a big room. Anything more than four feet from the speaker turns to mush. A £30 headset or a decent conference mic fixes it entirely.
- Recording without telling people. Beyond being rude in most contexts, guests who know they’re being transcribed speak more clearly and self-correct less.
- Trusting names and figures blindly. Numbers, dates and proper nouns deserve a manual check every single time.
- Keeping every recording forever. Set a deletion habit for calls with no future value. Your search results get better when the archive is clean.
A realistic first week
Say you run four meetings a week. Two internal, two external. Using the steps above, that’s roughly three hours of conversation recorded, and by Friday you’ll have somewhere in the region of twenty-plus captured action items you’d otherwise have written down in four different notebooks or not at all.
The time savings show up in the boring places. You stop taking notes during calls, so you actually listen. You stop asking “sorry, what was the figure again?” You stop writing follow-up emails from scratch because the summary is 80% of the way there.
What Otter won’t do is decide what mattered. It can tell you that a decision was made about the contract term; it can’t tell you whether the client was happy about it, or that the real concern was buried in what they said three minutes before. Read the notes. Add the one line of judgement only you have. That’s still the job, and it’s the part worth protecting.