G2

Rostyslav M.

Software Developer

Information Technology and Services

Mid-Market (51-1000 emp.)

8/27/2026

"Better meeting context without spending the whole call taking notes"

4.5/5

What do you like best about Otter.ai?

AI Meeting Notes has changed the way I run discovery calls because I can stay focused on how the prospect answers, instead of scrambling to capture budget, competitors, dates, technical concerns, and names while the conversation keeps moving. Live Transcription and Speaker Identification give me enough context to review the call afterward without relying on memory, and AI Chat is especially helpful when I need a precise answer rather than yet another generic summary. For example, I might ask which implementation concern came up, who sounded like the economic buyer, or what we actually committed to before the next meeting. Being able to query both the current conversation and previous meetings is particularly valuable on longer sales cycles, where important details end up scattered across several calls. AI Meeting Workflows are more useful to me than a simple recap because they pull deal information into a repeatable structure and help prepare follow-up actions. On an enterprise opportunity, we ended a call with several technical requests and a shift in timing, and having the summary, action items, and CRM-ready context already organized saved me from having to rebuild the entire conversation at the end of the day. Review collected by and hosted on G2.com.

What do you dislike about Otter.ai?

Otter is expanding quickly into agents, workflows, MCP, and more connected sources. That opens up a lot of possibilities, but it can also turn what used to be a simple meeting-notes tool into another system that needs real governance. For a sales team, I think it works best when Sales Ops maintains a small set of reliable templates and workflows, rather than letting every AE invent their own process. Otherwise, the automation can end up creating as much inconsistency as it removes. Review collected by and hosted on G2.com.

What problems is Otter.ai solving and how is that benefiting you?

We had an enterprise opportunity that unfolded across several meetings, where security, migration, a competitor, budget, and the target date all came up at different points. Before the next demo, I used AI Chat across the meeting history to pull together the open objections and the commitments we’d already made. During the call, Otter captured the conversation with Speaker Identification, and our sales template extracted the decision makers, timeline, and next steps. I still reviewed everything before sending the follow-up. On the first pass, Otter classified a pricing question as a formal objection and treated a tentative date as a commitment, so I corrected both before updating the opportunity. That balance works for me: Otter saves the administrative work and helps preserve account context, but I still own the interpretation. The result is a cleaner handoff to the Solutions Engineer, fewer details lost between meetings, and more time spent moving the deal forward instead of reconstructing what everyone said. Review collected by and hosted on G2.com.