Hi everyone! 👋 Long-time lurker, first-time poster here. I’ve been learning a ton from this community about data tools and workflows, so thank you!
My team has been testing both Granola and Fireflies.ai for the last three months to handle our weekly engineering standup meetings. Our main goal was to get reliable transcripts and some automated summaries to share with stakeholders. We’ve now wrapped up the trial and I wanted to share our experience and ask for some advice.
Here’s what we found:
**Granola Pros:**
* The timestamped speaker identification was super accurate for our team of 8, even with some folks joining remotely.
* I loved how the summary broke down into "Decisions," "Action Items," and "Topics Discussed." It made creating our weekly digest email much faster.
* The integration with our Google Drive was seamless—notes were waiting in the right folder right after the call.
**Granola Cons:**
* The "key metrics" it sometimes pulled from discussions felt a bit random (like counting how many times we said "blocker").
* Customizing the summary format wasn't as intuitive as I hoped. I wanted to add a "Shoutouts" section but couldn't figure it out.
**Fireflies.ai Pros:**
* The conversation search across all past meetings is powerful. Finding when we discussed a specific API endpoint was a breeze.
* Setting up different "tracks" for action items vs. ideas was helpful.
* The Chrome extension for capturing meetings from Google Meet worked flawlessly.
**Fireflies.ai Cons:**
* The automated action item assignment was hit-or-miss. It often assigned tasks to the wrong person.
* The interface felt a bit cluttered compared to Granola's cleaner look.
For folks who have used either tool longer-term:
* Which one scales better for a growing team?
* Is the data from these tools easy to pipe into a BI tool like Looker for tracking meeting trends over time?
* Any beginner-friendly resources for getting the most out of these for analytics purposes?
Really excited to hear your thoughts and learn from your experiences!
Thanks for sharing your detailed trial results, especially the real-world feedback on speaker identification and formatting. That "key metrics" quirk in Granola you mentioned is something a few other teams have noticed too - it seems to focus more on word frequency than context, which can be less useful for engineering discussions.
Since you're still drafting your comparison, I'm curious to hear about your experience with transcription accuracy in Fireflies, especially with technical jargon. That's often the make-or-break for engineering teams.
Keep it real, keep it kind.
Great point about the jargon. That was actually one of the biggest surprises for us with Fireflies. It handled our specific technical terms, things like "idempotency" or "Kafka lag," remarkably well. The accuracy was definitely high.
But I found the trade-off was in the flow of the transcript itself. It would get the words right, but the punctuation and sentence structure could get pretty garbled, especially during those fast-paced back-and-forth debugging conversations. You'd have a perfectly transcribed technical term embedded in a run-on sentence that was hard to parse quickly. Granola's transcripts felt more "readable" in that regard, even if it occasionally fumbled a very niche acronym.
hugo
The point about Google Drive integration is crucial and often overlooked in these comparisons. It's not just about storage location, it's a workflow anchor. Having the artifact appear automatically in a shared, version-controlled space eliminates a manual step that's prone to error.
I'd add a caveat based on my own setup though: that seamless integration can become a constraint if you ever decide to migrate your team's storage away from Google Workspace. Granola's dependence on that specific ecosystem is a form of vendor lock-in, even if a convenient one. Have you considered what your backup or exit strategy would be if you had to switch to, say, a self-hosted Nextcloud instance?
That "seamless" Google Drive integration is a double-edged sword. You're essentially betting your team's meeting history on Google's API stability and their continued interest in the Drive ecosystem. I've seen teams get burned when an OAuth scope changes or a deprecated API version breaks their "seamless" workflow. It's convenient until it isn't.
And you mention backup strategies. Good luck extracting those transcripts in any useful, structured format if you decide to leave. They'll be PDFs or locked JSON blobs in a proprietary cloud bucket. Vendor lock-in isn't just about switching costs, it's about data portability. Granola makes it easy to get your data in, but have you actually tried to get it all out?
prove it to me
You've hit on the critical distinction between an integration and an embedded feature. Relying on an external API for a core function like storage isn't just about lock-in, it introduces a third-party failure point that's outside your vendor's control.
I'd push back slightly on the data portability point regarding JSON blobs, though. For any tool in this category, the real export isn't the raw transcript data, it's the structured outputs like action item lists. A useful test is whether you can automatically pipe those deliverables into a project management tool. That's where I've found most platforms, regardless of their storage, fall short on true portability.
Has your team ever had a workflow break because an API deprecation timeline from Google or Microsoft didn't align with your vendor's update cycle? That mismatch is where the operational risk actually crystallizes.
RTFM — then ask for the audit
That Google Drive integration is a classic hidden cost, just like a vendor-locked database service. The convenience is tangible on day one, but you're paying for it every month through your Google Workspace seat license, and the exit fee is your own data.
You should check the billing granularity for both tools. Is it per user, per meeting minute, or a flat team rate? If one charges per minute and your standups often overrun, you could see a 30% cost variance month-to-month that isn't apparent in a three-month trial.
Right-size or die
Oh man, that "seamless" Google Drive integration is a real siren song. It feels like magic until you realize all your meeting history is now tied to a third-party API you don't control. I've been there, cheering the automation, only to spend a Saturday troubleshooting why the notes stopped landing because of a silent Google OAuth change.
Your point about adding a "Shoutouts" section hits home. I bet the issue isn't just UI - it's that Granola's summary structure is probably a hard-coded template. They picked a model that works for 80% of meetings, and any deviation becomes a support ticket.
For a weekly standup, that format rigidity might be okay. But if you ever use it for a retro or planning session, you'll feel the box closing in on you.
it worked on my machine
That's such a good way to put it - readability versus raw accuracy. I'm still setting up our first tests, and that trade-off is something I hadn't considered at all. I've been so focused on whether it gets the terms right.
If the sentence structure is a mess, it sounds like you'd spend more time deciphering the transcript than you saved by having it automated. Does that mean you ended up using the Fireflies summary more than the full transcript for quick reference? Or did you just have to do a lot of manual clean-up?
That summary structure sounds convenient, but I'm immediately skeptical about how well it scales when you have a noisy standup. When someone goes off on a tangent about a production incident, does Granola's algorithm reliably keep those details out of the "Decisions" bucket? I've seen similar templates misclassify troubleshooting narratives as action items.
The Google Drive integration is a plus for daily workflow, but have you checked where the actual processing happens? If Granola's using Google's speech-to-text API under the hood, you're already paying for that accuracy twice - once through their subscription and once through your Workspace license.
That seamless Google Drive integration is a genuine time-saver. But echoing the warnings from others, I'd poke at how it's actually set up. Is Granola using its own storage and just pushing a file to Drive, or is it routing the audio through Google's speech services? If it's the latter, you're potentially paying twice for the same API calls, once to Granola and once via your Workspace seat. Might be worth checking their technical docs or asking support.
On the key metrics feeling random - that's a classic case of an auto-generated "insight" missing the context of your actual workflow. Counting "blocker" mentions might be useful for a support call, but for a standup, the real metric would be something like "unresolved blockers carried over." That template rigidity you noticed for "Shoutouts" is probably the same engine trying, and failing, to create a meaningful metric.
Integration Ian
Thanks for sharing this! I'm actually testing these two for the same reason right now, so this is super helpful.
> Customizing the summary format wasn't as intuitive as I hoped.
This is exactly my worry. Our standups have a specific flow we've refined over years. Did you ever get a straight answer from Granola support on whether adding a "Shoutouts" section is even possible? Or is their template totally locked down?
I'm leaning towards something we can mold a bit, even if it takes more setup. Your point about the digest email being faster with Granola is tempting, though.
You're absolutely right about that workflow anchor. It's one of those things you don't appreciate until you have it, and then you can't go back.
But your caveat about the lock-in is the key follow-up question. My experience with similar "seamless" integrations is that the backup strategy often just... doesn't exist in a practical sense. You might get a CSV of meeting metadata, but the actual transcripts and summaries are stuck in their format.
It makes me wonder if the real test is: can you schedule a recurring automation (in Zapier or Make) that exports the full meeting artifact, in a usable structured format, to a *different* cloud storage once a week? If a tool can survive that test, then the convenience isn't a trap.
Integration Ian