Sample frameDay 306·Growth · Compound

Good morning. Every argument you had about growth last quarter happened near the bottom of a list you've never seen.

Growth.

Leverage Points

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The question

Think about where your growth meetings really spend their minutes — the budget number, the price, the conversion rate on one page, the headcount — and then ask what any of those would still be doing for you in two years if the loop underneath them never changed. I'll answer it for you: almost nothing, because a parameter you tune drifts back, and a structure you change keeps paying.

The idea

Donella Meadows trained in Jay Forrester's system dynamics group at MIT — the discipline he founded with Industrial Dynamics in 1961 — and was lead author of The Limits to Growth in 1972. In 1999 she published an essay, Leverage Points: Places to Intervene in a System, which does something unusual. It ranks the ways you can change a system from weakest to strongest, numbering them backwards, twelve down to one, and it puts almost everything people argue about at the bottom. Rung twelve is numbers and parameters. Above it come the size of buffers, the physical structure of stocks and flows, the length of delays, the strength of the balancing loops holding things steady, the gain on the reinforcing loops making things grow, who has access to what information, the rules, the power to self-organise, the goal of the system, the paradigm the goal comes from, and finally the ability to hold any paradigm lightly. Meadows was careful that the list isn't a formula — the higher rungs resist hardest and go wrong most expensively. The shape is the lesson. Growth teams live almost entirely on rung twelve.

The framework

01
Parameters are where the argument is loudest and the effect is smallest.
Meadows put numbers at the bottom for a reason: shifting a parameter changes the level a system settles at without changing how it behaves. Raise the ad budget by thirty per cent and you win more customers while the money lasts. Drop the price and you move volume until a competitor matches you. Neither alters the loop producing growth in the first place, which is why gains like these have to be re-bought every period. That doesn't make parameters useless — they're fast, reversible and sometimes exactly right. It makes them a poor place to spend a year's attention.
02
Where does Day 42's bottleneck sit on the list?
The loop you drew on Day 17 is a reinforcing loop, and Meadows puts its gain at rung seven. Whatever holds it down — capacity, support load, cash, the market's finite attention — is the balancing loop at rung eight, which is Day 42's constraint in systems vocabulary. The prescription hasn't changed: find it, relieve it, expect a new one. What Meadows adds is where it sits. Rung eight is still near the bottom of twelve, so a team that only ever hunts bottlenecks is running a very good process at the wrong altitude. Relieving a constraint keeps the current system performing. It doesn't change what the system is for.
03
Information flows, rules and goals — the reachable top of the list.
Three rungs pay well and stay reachable. Information flows come first: give a decision-maker a signal they didn't have, delivered where the decision actually happens — a support team that sees the churn its own tickets predict, a marketer who sees payback rather than clicks. Rules come next, and they're simply what gets rewarded, what's forbidden, and who's allowed to approve a refund. Then the goal, which is what the system is really optimising for — almost never what the strategy document says, and always what the number on the wall implies. Change the metric a team is judged on and you've changed more than any budget will.
04
Push high, but move slowly and reversibly.
Meadows was blunt that the higher you climb the harder a system resists, and that a leverage point pushed the wrong way does damage in proportion to its power — which is why she treated her own list as a guide rather than a lever board. So work it as a sequence. Name the loop, name the rung you're intervening on, then choose the smallest version of the change that would still show up in the data: one team's metric, one rule, one signal delivered to one desk. If it moves, widen it. If it doesn't, you've learned something no budget would have told you.

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