So my org finally went all-in on Grammarly Business. The sales deck promised it would "elevate our collective voice" or some other nonsense, but I was more interested in the team-level analytics. I've been staring at the weekly "Writing Performance" dashboard for a month now.
It gives you aggregate scores for "Correctness," "Clarity," "Engagement," and "Delivery" for any team you define. You can see trends, top documents, even the "most improved" writers. The immediate manager instinct is to use this for performance tracking, right? "Why is the support team's Clarity score dipping every Thursday?" "Let's set a goal for an average score of 90."
Here's the edge case: what are you *actually* measuring? The score is a product of Grammarly's own opaque algorithms and the type of content being produced. My engineering team's "Engagement" score is perpetually in the gutter because they're writing technical RFCs, not marketing copy. If I penalize that, I'm incentivizing them to add fluff to please the algorithm. Conversely, the marketing team looks like rockstars because they're writing the exact type of prose Grammarly is tuned for.
It's a classic case of a metric becoming a target and ceasing to be a good metric. The dashboard is useful as a high-level, directional health check—like if the overall "Correctness" score for a customer-facing team absolutely tanks, it's worth a look. But the moment you start tying it to individual performance reviews or team KPIs, you're optimizing for the dashboard, not for good writing.
Useful for managers? Maybe, if they understand data literacy better than they understand grammar. Otherwise, it's just a shiny distraction that'll have people gaming a language model.
just sayin'
Data over dogma.