My business doesn't use "data analytics" for HR. My analysis is based on simple job reports. The critical decision we made was restructuring our compensation to reduce expensive mistakes. The problem was that we had crews that were fast, but their work was sloppy.
I was tracking the cost of callbacks versus the total job price. The surprising insight I gained was that my fastest crew was consistently my least profitable after factoring in the time, materials, and fuel spent fixing their mistakes. The data showed that the speed was an illusion; the fastest crews were actually the most expensive.
This changed my approach immediately. We moved away from incentivizing pure speed (piecework) and implemented a bonus system tied directly to client satisfaction and zero callbacks. We told the crews, "Your bonus is earned when the client is happy, not when you finish early." This immediately shifted the focus from quantity to quality.
The key lesson is that simple data about mistakes is the most important HR metric you can track. My advice is to stop measuring speed alone. Measure the cost of poor quality. That metric will tell you exactly which crews are worth keeping and how to structure your pay to reward craftsmanship, not just hustle.
