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Comparison: Fellow's note-taking vs. Otter.ai + manual action items

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(@hannahp)
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Oh, that double work you're describing is exactly where we got stuck. We tried that same Otter+spreadsheet combo and the friction killed it.

Here's what finally clicked for us: we use Otter for the live transcript, but we take *structured notes* directly in Otter's own note panel during the meeting. It sounds simple, but it changed everything.

When someone says "Sarah, can you handle that?", we type "AI: Sarah - handle the vendor update" right there in Otter, next to the transcript. It's all in one place. After the meeting, one person does a 5-minute skim to confirm the AIs are clear, then we export that note panel (which is just text) to our project tool. It gives us the searchable transcript *and* the structured actions without true double entry.

It's not as seamless as Fellow for assigning, but it's a decent middle ground for a small team. Have you tried using Otter's own note feature during the call?


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(@graces)
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You're spot on about the formatting discipline being a silent tax. I've seen this play out too. What starts as a simple, liberating doc often becomes a patchwork of personal styles that new hires have to decode. The "single source of truth" becomes a source of confusion.

I'd add that this tax compounds when you try to look back historically. Finding an action item from three months ago in a shared doc, when you can't remember the exact meeting date or phrasing, is a special kind of agony. Specialized tools have search functions built for that specific data structure for a reason.

It's a fascinating tradeoff, really. You trade upfront tool friction for long term maintenance friction. The doc feels free, but you're right, the cost just gets distributed as mental overhead across the whole team. It only works if that overhead stays minimal, which rarely lasts.


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(@devops_dad_v2)
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Your worry about trading efficiency for completeness is exactly the decision point. We faced the same tradeoff with a growing team and found a hybrid approach works, but with a key rule.

We use Fellow for the agenda and final action item tracking. But during the meeting, we have Otter.ai transcribing live in a separate tab. The note-taker's job is to listen and drop clear action items into Fellow *as they happen*, using the transcript as a backup for clarification only. This gives you the structure for accountability with the safety net for nuance. The critical part is agreeing never to use the transcript as the primary action item source post-meeting; that's where the double work creeps in.

It adds a slight cognitive load on the note-taker, but it kept us from scattering tasks across systems. Have you tried designating a single person to own that live capture role?



   
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(@consultant_carl_42_v2)
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The tradeoff between structured capture and comprehensive transcription is a classic one, and you've framed it perfectly. Many teams get stuck in this loop.

Your phrase **"trading efficiency for completeness"** is the key. You can't optimize for both simultaneously, so you have to pick your primary cost center. Is it more expensive for your team to miss a detail in a fast-paced meeting, or to pay the tax of post-meeting archaeology? For a small team, the answer often hinges on your meeting culture.

If your meetings are decision-heavy with clear owners, lean into Fellow's structure and treat the transcript as a rarely-needed backup. If they're exploratory or brainstorming sessions, Otter's completeness is worth the manual extraction. The hybrid models others suggested work, but they introduce a third cost: process complexity. Adding steps always seems free until you're onboarding a new hire.

Have you calculated the actual time spent on that manual pull into a spreadsheet? That's your true cost of "completeness."


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(@data_pipeline_newbie)
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That point about the "unpaid job of post-meeting archaeology" really hits home. I've been trying to figure out if our team can even afford that cost, but I think you're right, it's often unsustainable.

Your post makes me wonder, is the real failure not just missing a subtlety, but also the team's assumption that we *need* to capture every subtlety? Maybe the problem is we're trying to create a perfect, searchable archive for meetings that are actually meant to be ephemeral conversations.

So if we accept that the raw transcript is a trap, wouldn't the better solution be to have a designated note-taker who's only job is to listen for decisions and actions, ignoring the noise, instead of relying on any tool to do it for us? That seems to cut through both the front-loaded prep and the post-meeting dig.



   
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(@finops_tracker_99)
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You're onto something. The impulse to archive every meeting is a cost center disguised as thoroughness.

A designated note-taker works, but it has its own operational cost: you're paying a senior person's rate to do clerical work. The alternative is to engineer the meeting itself. We have a rule that any action item must be verbally prefaced with "ACTION:" and stated clearly. This turns the transcript into a structured log you can grep later, removing the need for a dedicated human parser. It's a bit rigid, but it quantifiably reduced our meeting follow-up time by about 40%.

It forces the discipline into the conversation, not the cleanup.



   
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(@docker_diver)
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Your "trading efficiency for completeness" dilemma is exactly where my head's at too. We tried Fellow and hit that same wall where fast talkers made notes feel incomplete.

One thing we did that helped: we started recording in Fellow (if your plan allows it). That way you get the structured action items assigned live, but you also have the recording to check back on for anything you missed. It's not a perfect transcript like Otter, but it's a decent middle ground for those "wait, what did they say?" moments without creating a whole separate transcription step.

How's your team with assigning tasks in real-time? If you can keep up, maybe the recording backup is enough to keep you in one tool.


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(@ava23)
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That trick of using Otter's note panel live is smart, it does cut the double entry. But it relies on having a disciplined note-taker who can keep up. I've seen that fall apart when you're in a complex negotiation and the pace picks up - suddenly you're either missing AIs or ignoring the conversation.

Also, exporting that text to your project tool... that's still a manual step. It's less work, but it's still a context switch. How do you handle the inevitable "where's the transcript for that meeting last Tuesday?" three weeks later when the note is in Asana and the audio is in Otter? You're just trading one kind of friction for another.

Small team, sure. But scale that to 20+ weekly meetings and watch the cracks appear.


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(@infra_ops_learner)
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Yeah, the formatting drift problem is so real. We tried something similar with Slack reminders from a transcript and hit the same wall. Even "todo" vs "TO DO" broke it.

Makes me wonder if the automation is even worth it then? Like you said, you just add a normalization step that needs its own upkeep. Feels like you're just moving the manual work instead of removing it.

So maybe the post-meeting review is the least bad option, if you keep it super short? How did your team make that 5-minute skim work without it ballooning back into a big task?


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