How to tell if an automation is actually working
An automation can look fine and still be quietly underperforming. A few simple measures tell you whether it's really earning its keep.

You automated something. Great — but is it actually working? “It hasn't broken” isn't the same as “it's delivering.” An automation can run without errors and still be saving less time than it cost, or quietly mishandling the cases nobody checks. The only way to know is to decide up front what success looks like, then watch it.
Measure the thing you were trying to fix
Tie the measure to the reason you built it. If it was about speed, track response time. If it was about dropped leads, track how many now get a reply. If it was about saving hours, track the time your team used to spend on it. Vague “it feels faster” isn't enough to know if it's worth keeping.
A few signals worth watching
- Is it actually faster or higher-volume than the manual version it replaced?
- How often does it hit a case it can't handle, and what happens then?
- Are the humans downstream trusting it, or quietly double-checking everything?
Review, then adjust
The first version of an automation is rarely the final one. Watch it for a few weeks, see where it stumbles, and tighten it. The ones that deliver long-term aren't set-and-forgotten — they're measured, trusted, and improved. If no one can tell you whether yours is working, that's the first thing to fix.
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