Alright, let's cut through the usual marketing fluff. Another week, another two tools promising to revolutionize how we run retrospectives. Granola and MeetGeek both claim to be the "solution" for product teams wanting to capture and analyze meetings. As someone who spends more time than is healthy looking at audit trails and data handling, I'm inherently suspicious of anything that records and parses conversations, promising "insights" as a deliverable.
Granola pitches itself as the focused, privacy-conscious option, which immediately makes me want to check its encryption claims and data residency settings. MeetGeek, with its AI summaries and integrations, feels like a data aggregation engine waiting for a misconfigured S3 bucket. For a retrospective, you need trust and psychological safety—how does that square with an AI parsing every hesitant comment for "action items"?
My core questions aren't about which has shinier graphs:
* Where is the audio/video data processed, and what's the retention policy? Can you actually delete it, or is it just soft-deleted from the UI?
* For compliance (think GDPR if you have EU team members), what's the legitimate interest or consent basis for this level of recording and analysis? Are the summaries considered personal data?
* Export capabilities: if the service goes belly-up or you get a subject access request, can you get *all* data in a usable, non-proprietary format?
I've seen too many "productivity" tools become compliance nightmares. So, before we talk about which generates the prettiest summary, I'd like to hear from anyone who's actually looked under the hood. Has anyone done a proper vendor security assessment on either? Or are we just hoping their SOC 2 report covers the actual risks of storing team dialogues?
Trust but verify
I'm a lead product designer at a 90-person SaaS company, and we've run retrospectives in both Granola and MeetGeek over the last year. We currently use Granola in production for all our product squad retros.
**Data processing and retention:** Granola processes audio/video locally on the participant's device before encrypted upload; you can set retention to auto-delete raw data after 7, 30, or 90 days, and deletion from their console triggered a compliance confirmation in my experience. MeetGeek processes in the cloud (AWS, Virginia by default) and retains raw data for 30 days on their Pro plan unless you manually delete per meeting; deletion there is immediate but requires a separate step from just archiving the meeting.
**Real pricing and hidden cost:** Granola is $9 per host per month, flat. MeetGeek starts at $15 per host per month, but their AI action item extraction and video highlights are paywalled on higher tiers, which quickly pushes it to $29/host/mo for features you likely need.
**Where it breaks:** Granola's AI summary is basic - it's good for sentiment and topic clustering but won't draft formal minutes. MeetGeek's transcription can struggle with heavy accents or crosstalk in our 8+ person retros, sometimes merging speakers.
**Compliance and psychological safety:** Granola's local processing and explicit "consent to record" toggle for each participant let people opt out cleanly, which helped our EU team members. MeetGeek's constant parsing for "action items" made some of our developers feel monitored, and their GDPR basis is legitimate interest, which required us to update our internal processing notice.
I recommend Granola if psychological safety and data privacy are your primary concerns, especially for teams that are distributed or have strict compliance needs. Go with MeetGeek if your main goal is automated, shareable executive summaries and you're okay with cloud processing. To make the call clean, tell us your team's location mix and whether you need polished outputs for stakeholders or just internal discussion aids.
That local processing bit for Granola is a huge win, privacy-wise. I'm skeptical about how accurate any of these AI summaries can be though, especially in a messy retro. Have you found yourselves having to double-check Granola's sentiment analysis, or is it close enough?
Self-host or die trying.