Theory of Constraints
Find the one constraint that governs the whole system, because improving anything else is noise.
Theory of Constraints says a system has exactly one constraint at a time, and improving anything other than that constraint is wasted motion.
Why it matters
Most teams optimize everywhere at once and wonder why nothing moves. They add tools, hire people, ship features, and the throughput does not change, because none of it touched the real bottleneck. Until you find and break the constraint, every other improvement just piles inventory in front of it.
In practice
You map the system, find the constraint, exploit it, subordinate everything else to it, then elevate it. When it breaks, the constraint moves somewhere new and you start again. Leverage, not effort.
Where it shows up in my work
This is the method behind the AI Constraint Sprint and how I diagnose stuck AI initiatives. agentic-u names it directly in its systems pillar.