Migrated from Otter.ai to Fireflies - 6 months later, here's what broke

That 70% figure for action item consistency requires a concrete baseline. What was your validation method? We ran a similar comparison and found Otter's inconsistency often stemmed from misidentifying speakers, while Fireflies' failures were more subtle, incorrectly parsing conditional language like "we should maybe update the doc." The latter is harder to catch in a spot check and more damaging to workflow trust.

You cite the native connector eliminating manual steps as a real win, and I agree that's the primary selling point. However, my analysis suggests that "eliminated" is an optimistic term. You've traded a documented, human-executed step for an undocumented, automated dependency. The cost isn't gone, it's transformed into platform risk.

The more critical question is how you measured the improvement in action item extraction. A 70% success rate compared to a 50% baseline is meaningless without defining the failure mode. If Otter's failures were obvious transcription errors, they were easy to spot-correct. If Fireflies' 30% failure case involves confidently misassigning ownership or missing conditional language, as others have noted, each error now requires a deeper forensic effort to even locate. The net time saved may be negligible or negative when you account for the investigative overhead of silent, high-confidence failures.

You mention the connector eliminating two manual steps, and I think that's the core of the operational trade-off. The efficiency gain is real on day one, but it creates a new, hidden failure mode. A manual process might be slow, but its failure is visible - the file isn't in the folder. An automated pipeline that fails silently, as others have pointed out, removes that visibility. You've traded a known, quantifiable time cost for an unknown risk of data corruption.

Your 70% action item consistency figure is interesting, but the validation method matters more than the number. If that's based on spot-checking internal team syncs where jargon is consistent, it might be accurate. But if it includes calls with new clients or heavy cross-disciplinary talk, that confidence can drop off a cliff. The failure often isn't a missed item, it's a confidently wrong one, which erodes trust faster than a low success rate.

That 70% figure for action item consistency is doing a lot of heavy lifting, and you've already hinted at the autopsy. I'm dying to know your methodology. Spot-checking internal stand-ups where everyone uses the same acronyms? Or did you throw it into the deep end with sales discovery calls where "next week" could mean "next fiscal quarter" and "I'll own it" is immediately followed by three conditional clauses?

The integration win is real, until it isn't. You traded two visible manual steps for one invisible, automated dependency. When that native connector to Salesforce fails silently - and it will - you don't have a missing file in a folder, you have a gap in your customer record with no error log. That's not a small win, it's a new category of operational debt.

What broke next? Don't leave us hanging. My bet is on the Soundbite feature creating more political overhead than it saved in accountability, or the transcript search falling apart the first time someone mentioned a product codename.