Sure, let’s break it down. Chaos theory says tiny changes can ripple into big outcomes, so you’re looking for those small “bifurcations” that hint at a future slowdown. Start with a simple model: map out the flow of work, identify a few key variables, and run a sensitivity test—shift one variable a little, see how the rest reacts. If a small tweak causes a cascade of delays, that’s your inefficiency signal. Keep an eye on feedback loops too; they’re often the hidden culprits that amplify the problem. And remember, the pattern is not always obvious at first glance—sometimes you need to step back, look for the recurring motif, and then you’ll see where the system is on the brink of chaos.

Got it—sometimes the smallest slip, like a missing “send,” throws the whole line out of sync. I’ll stay on the human side of things while still watching for the subtle math cues that could tip the balance.