The five focusing steps, run as a growth cadence

Everything so far resolves into a single operating loop. The Theory of Constraints runs as five focusing steps, and they map onto growth so cleanly that they become your cadence rather than a piece of theory you nod along to.

Identify, then exploit before you spend

Step one is to identify the constraint, using the stage-by-stage diagnosis from earlier. Step two is the one almost everyone skips in their hurry to throw money at the problem: exploit the constraint with the resources you already have, before spending a cent. Faster lead response, tighter qualification, a sharper follow-up sequence, a churn-save flow. Squeeze maximum throughput out of the current setup first. The exploit step is where the cheapest, fastest wins live, and jumping past it to buy capacity is how founders burn budget on a problem that a process change would have solved for free.

Subordinate everything else

Step three is the discipline that holds the whole thing together: subordinate every other channel, team and agent to the constraint. Everything else in your growth machine exists to serve the bottleneck, never to flood it and never to starve it. If your constraint is the mid-funnel and your content engine is pumping more top-of-funnel leads into it than it can process, the content engine is hurting you, not helping. Subordination means you actively throttle and redirect the non-constraints to keep the constraint fed at exactly the right rate.

Elevate only after exploiting

Step four is to elevate: add budget, headcount, or AI capacity to expand the constraint's throughput. Note the order. You elevate only after you have exploited and subordinated, because spending to expand a stage you have not yet squeezed or protected is how money disappears. Most premature scaling is an elevate step run before the exploit step, and it is expensive.

Prevent inertia, because the constraint moves

Step five is the one that turns this from a project into a practice: prevent inertia. The moment you relieve a constraint, it moves. The limit shifts to a new stage, which needs a different approach, and the worst thing you can do is keep managing the old bottleneck out of habit after it has stopped being the problem. So you go back to step one. Constraint-hunting is a permanent cadence, never a one-and-done fix, and it slots naturally into how you already run growth experiments: one constraint per cycle, one lever, then re-diagnose. Growth leadership, stripped to its core, is running this loop on repeat and having the discipline to follow the constraint wherever it goes next.