I know you don't want to hear this, but I also know you know this is true: you would genuinely need to look at the full dataset that team collected to draw any meaningful conclusion here. Your single example means pretty much nothing in terms of whether the tool makes sense at large scale. Not a single tool or technology exists in this entire field that never fails or has issues. You could just as well argue that because you read something wrong on Google or Stack Overflow that those tools should be banned or discouraged, yet that is clearly false.

That said, I don't agree with or advocate the specific rollout methodology your company is using and agree that it feels more abusive and adversarial than helpful. That approach will certainly risk backfiring, even if they aren't wrong about the large-scale usefulness of the tools.

What you're experiencing is perhaps more poor change management than it is a fundamentally bad call about a toolset or technology. They are almost certainly right at scale more than they are wrong; what they're struggling with is how to rapidly re-skill their employee population when it contains many people resistant to change at this scale and pace.

> I know you don't want to hear this, but I also know you know this is true

I wasn't sanctimonious to you, don't be so to me please.

> you would genuinely need to

> look at the full dataset that

> team collected to draw any

> meaningful conclusion here

I compared notes with a couple friends on other teams and it was the same for each one. Yes it's anecdotes but when the same exact people that are producing/integrating the service are also grading its success AND combine this very argument while hiding any data that could be used against them, I know I am dealing with people who will not tell the truth about what the data actually says.