Haute Lumière
Commerce · II.09 · MMXXVI · daylight
For the person with a P&L, a board calendar and a scorecard they did not write. This workbook is about finding out what your organisation is actually selecting for, computing the rate, and changing the criterion on purpose — using the firm's own numbers, in the firm's own language.
Your organisation has a population of units — teams, sites, product lines, subsidiaries, franchisees, suppliers. They differ. Some carry more weight into next year than others. What they do propagates, imperfectly, by transfer, promotion, imitation and acquisition.
That is a selection system whether or not anyone designed it, and it has a measurable rate. The rate is Cov(w,z)/w̄ — the covariance between a trait and who carries weight forward, divided by mean fitness — and it is computable from data your finance function already holds.
The commercial claim of this chapter is narrow and strong: the criterion in your management accounts is doing more to determine the firm's future capability mix than your strategy, and it is doing it at a rate you can put in a paper. In the chapter's worked population, switching the weighting from next period's revenue to this period's margin turns +0.6545 points a generation into −0.5688 — a swing of 1.2234 a generation, and 12.23 percentage points over thirty years, with no change in behaviour by anyone.
Exercise 1.1 — The fitness function, as found (one week)
Do not ask what the strategy is. Establish, from documents, what determines which units carry weight into next year. Specifically:
Write the answers on one page and title it The fitness function, as found. Nobody in your organisation has this page and several people will want it.
Exercise 1.2 — The trait census (one week)
Choose one capability trait z that (a) you believe matters over five years, (b) is already recorded somewhere, and (c) nobody currently targets. Candidates that are usually already in the system: training hours per head, maintenance spend against plan, proportion of revenue from repeat customers, documented procedure coverage, internal transfers in and out.
Pull z for every unit for the last three years. Do not adjust anything yet.
Exercise 1.3 — What is already working (2 hours, out loud)
Find the unit with the highest z that is also performing well commercially, and find out how it got there. Who started it, what did it cost, and who has copied it? You are looking for an existing inheritance path, and one usually exists. It is far cheaper to widen a path than to build one.
Exercise 1.4 — The variance audit (half a day)
Compute V_between — the variance of z across units — for each of the last three years. If it is falling, your organisation is homogenising, and from the threshold b/c > 1 + V_within/V_between it is becoming progressively less able to improve by selection at all. A falling between-unit variance is a leading indicator that nobody currently reports. Put it in the pack.
Exercise 2.1 — The selection term on your own population (one day)
For last year: define w as weight carried forward per unit of weight held — revenue, headcount or capital employed, chosen once and defended in writing. Then, exactly as the chapter does:
z̄ = mean of z w̄ = mean of w E(w·z) = mean of w·z
Cov(w,z) = E(w·z) − w̄·z̄
selection term = Cov(w,z) / w̄ units: trait-points per generation
Worked, in the chapter's population: E(w·z) = 7.320, w̄·z̄ = 6.600, Cov(w,z) = 0.720, term = 0.720 / 1.100 = 0.6545 points a generation.
Exercise 2.2 — The counterfactual criterion (half a day)
Recompute with w defined by the alternative measure your board might plausibly adopt. Present both terms side by side. This single table is the most persuasive artifact in the workbook because it holds behaviour constant and varies only the accounting, which is the one thing a board can change at will.
Exercise 2.3 — The response, and whether the mandate is achievable (2 hours)
Apply R = h²·S.
S is your selection differential: the mean z of the units you actually grew, minus the population mean. Compute it from last year. The chapter uses 4.00 points.h² is transmission fidelity. You must estimate this from your own data, not assume it — track three practices that moved between units last year and measure how much of each survived the move. The chapter's 0.35 is an assumption and is flagged as one. R = 0.35 × 4.00 = 1.40 points per generation
generations in a 10-year horizon at 3 years each = 3.33
delivered = 4.67 points required = 10.00 points
shortfall = 5.33 points — the programme delivers 46.7% of its mandate
If your own numbers come out like this, you have found something worth a board paper: the transformation target cannot be reached by selection at the current intensity, and the three levers are S = 8.57 (select harder), h² = 0.750 (copy better) or a generation of 1.40 years (cycle faster).
Exercise 2.4 — The null band (1 hour)
Before you claim any historic trend in the pack, compute R·√n. At R = 1.40 over ten generations that is 4.43 points, two sigma 8.85. Any historic move smaller than that is not evidence of anything, and saying so once in a board paper will buy you more credibility than any other sentence in it.
Exercise 3.1 — The boundary test (half a day)
Identify one behaviour that is costly to a unit and valuable to the group — lending capacity, sharing a customer, releasing a good person, publishing a method. Estimate b (benefit per point to the group) and c (cost per point to the unit) in money, roughly. Then test:
b / c > 1 + V_within / V_between
The chapter's case: 1 + 2.6667/9.0000 = 1.2963 against an actual b/c of 2.0000, critical b* = 0.03889, headroom 1.54 times. Below the threshold the trait is selected out — at b = 0.020 the term is −0.1789 a generation — however loudly it is encouraged in a town hall.
The management consequence is exact. If b/c is below the threshold, the only fixes are to raise the group term in the scorecard, to lower the private cost, or to raise V_between by letting units differ more. Exhortation is not on the list.
Exercise 3.2 — Write the criterion (one day)
One page, versioned, dated. It states: the trait, the boundary it is measured at, the period, the verifier, the amendment window, and the notice period for a change. Signed by you and by finance. This document is the intervention. Everything else in the programme administers it.
The notice period is not a courtesy. A criterion that can change without notice cannot be invested against, and units will rationally decline to invest in anything with a payback longer than the notice.
Exercise 3.3 — The cohort, sized (half a day)
Variants, not a pilot. A single pilot produces no variance and therefore no response — it produces an anecdote. Size it as the chapter's facility does: twelve variants at £85,000 each, £1,020,000 a cohort, three kept, an intensity of 0.250 published before results. At a response of 1.40 points a generation and a value of £310,000 per point per year, that is £434,000 a year — 42.5 percent against a 9 percent WACC, clearing by 33.5 points, payback 2.35 years, £728,571 per point of response.
Run the same table on your own numbers. If it does not clear, the honest answer is a smaller cohort or a better transmission mechanism, not a rounder estimate.
Exercise 4.1 — The three defences (one week)
Write one paragraph on each, naming an owner:
Exercise 4.2 — Goodhart, pre-empted (2 hours)
Every published measure becomes a target. Hold a second, unpublished measure of the same underlying thing, sample it quarterly, and amend the published one when the two diverge. Write down now what the second measure is and who holds it. Doing this before the first divergence costs an afternoon; doing it after costs the criterion's credibility.
Exercise 4.3 — The sealed prediction (1 hour)
Publish, before the period: predicted Δz̄ and an interval. The chapter's example is 0.6545 ± 0.25, so the claim dies outside [0.4045, 0.9045] — 0.71 survives, 0.40 and 1.10 falsify it.
A predicted rate with an interval, stated in advance, is the single thing that separates this from every transformation programme your board has previously approved. It is also the reason they will approve the second cohort.
The strategy loses to the scorecard, silently. This is the default outcome and it produces no incident, no escalation and no red line anywhere. The capability trait declines at −0.5688 a generation while the strategy document sits unamended in the board pack. The only early warning is the selection term itself, computed annually, which is why Exercise 2.1 belongs in the standing pack rather than in a project.
The cohort becomes a pilot. Twelve variants are approved and nine are cancelled at the first review, on the grounds that they are not working — which was the plan. Without the variance there is no response, and the surviving three then carry a claim they cannot support. The defence is the published kept-to-funded ratio: three of twelve, an intensity of 0.250, stated before the results and cited at the review.
The criterion is amended mid-period. A new chief executive, a new segment structure, a new reporting line, and the population is scored against a rule that did not exist when the decisions were taken. Every subsequent investment with a payback longer than the notice period is rationally declined. The defence is the amendment window, written into the criterion on day one.
Between-unit variance is tidied away. Consolidation, standardisation and best-practice rollout each look like good management in isolation, and together they drive V_between toward zero. From b/c > 1 + V_within/V_between, the required ratio then rises without bound and group-level improvement becomes arithmetically impossible. No single decision looks wrong. The defence is a variance floor with a named owner and a budget line.
Transmission is assumed rather than measured. Every figure downstream of h² is linear in it. Halve 0.35 to 0.175 and the response halves to 0.70 a generation, delivering 2.33 points instead of 4.67. Spend the month measuring it before the facility is approved, and put the measured number, with its method, in the paper.
| Day | Action | Artifact |
|---|---|---|
| 1–10 | Establish what actually determines next year's allocation | The fitness function, as found |
| 11–20 | Pull the trait for every unit, three years | The trait census |
| 21–30 | Compute V_between by year | The variance audit |
| 31–38 | Compute Cov(w,z)/w̄ for last year | The selection term, with units |
| 39–45 | Recompute under the alternative criterion | The two-number table |
| 46–52 | Measure h² from three practices that moved | A transmission estimate with its method |
| 53–60 | Draft and sign the criterion with its amendment window | The signed criterion |
| 61–75 | Size the cohort; take it through the decision inequality | The facility memo |
| 76–85 | Name the three defences and their owners | The versioning, floor and deposit note |
| 86–90 | Publish the predicted Δz̄ and its interval | The prediction, dated |
Title. What we are selecting for, and at what rate.
Cov(w,z)/w̄ for the trait, with units, for the last three years. One table.R·√n, so the board knows which historic moves are real.h²·S·(horizon/generation)·value per point > cohort cost × WACC — £1,446,667 against £91,800 in the worked case.Δz̄ and its interval, dated, for the coming period.