When Dashboards Look Good but Systems Drift

Restaurant quality debates often turn emotional. This article takes a different path by defining what “data-driven” actually means before assigning causes or blame.

It separates customer experience from operational pressure and shows how public, reproducible data—satisfaction scores, pricing trends, and labor costs—can explain why systems slowly standardize even when intentions are good.

This pattern isn’t unique to restaurants. Automation systems drift the same way when proxy metrics replace outcomes and dashboards start optimizing the wrong thing.

How do you detect drift early in your own automation workflows—before the system technically “works,” but no longer delivers value?

https://creativecooking.blogspot.com/2026/01/tech-tuesday-why-restaurant-quality-is.html

#Automation #AI #SystemsThinking

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