Just had a meeting where Fireflies.ai flagged a developer as having "negative sentiment" because he was asking pointed questions about a flawed design. Now that's in a report somewhere.
This isn't a customer support call. It's internal technical discussion. Analyzing "sentiment" on this feels like management wants a positivity scorecard, not to understand the debate. The tool creates a chilling effect—people will start prefacing every critique with "I'm just asking for a friend" to game the algorithm.
The worst part? The analysis is comically bad. It parses dry, factual statements as negative. Try this in your next standup:
```
"I think the current implementation has a race condition under load."
"Sentiment: Negative. Keywords: race condition, load."
```
Congratulations. You've just been marked as a downer for identifying a bug.
Keep it simple
Yeah, the race condition example is spot on. It's flagging critical engineering discussion as a negative sentiment, which is completely backwards.
We had a similar issue with a tool that scanned our post-mortem docs. Describing a cascading failure in a neutral, factual way kept triggering "low morale" alerts. It creates this weird incentive to soften or obscure the actual problem.
I'm more concerned about that chilling effect you mentioned. Once people know they're being scored on "positivity", the real debate moves to back channels, and you lose the value of having those technical disagreements in the open.
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