Where we start
Foundations session 1 ended with a rate and its base written under it: 210 leavers over an average headcount of 941.5, 22.3 percent for the half-year. That number is honest. It is also nearly useless on its own, because the first three questions anyone asks of it are "what is that for the year", "which teams" and "is that bad". Each of those questions changes the number, and each change is defensible only if it is written down. Apex is constructed, every person in it is invented, and the pages say so; the four decisions are real in every company.
★ What you walk out with tonight. The word "annualised" and the assumption it always carries, a rule for how small a base can be before one person becomes a point, the habit of showing the categories behind any "regretted" figure, and the arithmetic that turns a monthly national quits rate into something you can hold beside a half-year rate without fooling anyone.
The base is a decision, the doubling is an assumption
5 min liveApex's half-year rate is 22.3 percent on the average base. The board pack will say 44.6, because a board thinks in years and somebody doubled it. Doubling is not wrong; it is a forecast wearing the clothes of a measurement. It says the second half of 2026 will look like the first, and for a company whose Sales department lost half its people between January and June, that is the one thing nobody knows.
LiveAnnualising, and the assumption it carries3 min▶
Doubling a half-year rate assumes the second half repeats the first. For Apex, 22.3 percent on the average base becomes 44.6 percent annualised. The word "annualised" is doing real work in that sentence: it says the figure is a projection, built from six months of data, under an assumption that the next six months look the same. Drop the word, and 44.6 becomes a fact about a year that has not happened.
The assumption fails in both directions. If the Sales exodus was a one-off, the second half will be quieter and 44.6 overstates. If it was the start of something, the second half will be worse and 44.6 understates. The half-year figure does not know which, and neither does the doubling. What the number can honestly say is "22.3 percent in H1, which would be 44.6 for the year if H2 repeats it", and that is the sentence to put on the slide, unshortened.
The same trap runs the other way. A quarter's rate multiplied by four, a month's rate multiplied by twelve: every one of those multiplications is a forecast, and the shorter the period it was built from, the noisier the forecast. It also breaks a comparison: an annualised half-year against last year's measured full year is one projection beside one measurement, and the gap between them is partly the assumption.
LiveThe benchmark question: compared with what, on which clock2 min▶
"Is 22.3 percent bad" has no answer until three things are fixed: bad compared with whom, over what period, and counting which leavers. The comparison most people reach for is a national figure, and the best open one is the US Bureau of Labor Statistics quits rate from its JOLTS survey, which counts voluntary quits during a month as a percent of employment. It is monthly. Apex's figure is a half-year. The scale conversion is the self-study of the build-along below, and getting it wrong by a factor of six or twelve is the single most common way a benchmark misleads.
The second comparison is with last year, and there the question is whether last year's figure used the same base, the same period, and the same definition of leaver. Usually nobody knows, because it was never written down. The rate card in the build-along is how to make sure yours is.
The number that travelled. A half-year attrition figure gets doubled for a board slide, the slide gets quoted in a town hall, and by the next quarter the annualised projection is being compared with the following half-year's measured rate as though both were the same kind of number. Nobody lied at any step. The word "annualised" fell off the number at the second hand-over, and with it the assumption. Constructed scenario; the mechanism is not.
Eight departments, eight bases
5 min liveSplit the 210 leavers by department, on the start base, and the group's 20.5 percent turns into a range from 7.4 to 50.0. Sales lost 54 of 108 people. R&D lost 7 of 94. Those two numbers are on the same base rule, from the same six months, and they describe different companies. The split is where a people number becomes useful, and it is also where the base gets small enough that one resignation is a point.
LiveSales 50.0, R&D 7.4, and the base printed under each3 min▶
The group rate hides the split, and the split is the finding. Apex's eight departments on the start base: Sales 50.0 percent (54 of 108), Customer Service 37.6 (35 of 93), Operations 25.2 (55 of 218), Marketing 19.7 (15 of 76), Engineering 11.3 (24 of 213), HR 10.7 (8 of 75), Finance 8.3 (12 of 145), R&D 7.4 (7 of 94). The four entities tell a flatter story: Digital 25.0, Logistics 23.5, Manufacturing 19.3, Retail 17.7, all on the start base, all constructed.
Two rules for any split. First, the base goes under every rate, as "54 of 108", not as a footnote. A rate with its base can be re-added: 54 plus 35 plus 55 and so on reaches 210, and the bases reach 1,022, so the split reconciles to the bridge from Foundations session 1. A rate without its base cannot be checked against anything. Second, the same base rule everywhere. Sales on the start base beside R&D on the average base is a comparison of two conventions, not of two departments.
Transfers matter here too: a person who moved from Sales to Marketing in March is a Sales leaver and a Marketing joiner on the department split, and neither on the group bridge. Apex has 291 rows with a transfer flag, so the rule has to be written before the split is made.
LiveHR 8 of 75: when one person is a point2 min▶
HR's rate is 10.7 percent, from 8 leavers of 75. One more resignation and it is 12.0; one fewer and it is 9.3. On a base of 75, each person is 1.3 points, which is arithmetic (100 over the base) and not a property of HR. Marketing, on 76, has the same problem. Operations, on 218, moves 0.5 of a point per person and can carry a trend; HR cannot, and a dashboard that colours HR red at 12.0 and green at 9.3 is colouring one person's decision.
The rule of thumb: read the base before the rate, and if the base is under about a hundred, read the count instead. "8 people left HR" is a sentence a manager can act on. "HR attrition is up 2.7 points" is the same fact dressed up as a trend. Small groups also make the survivor problem from Foundations session 1 worse: with 75 people, the handful who left before the snapshot would have moved the number visibly, and they are not in the table.
Self-studyEntity rates, and why they add up when department rates do not look like they should2 min▶
The four entity rates (25.0, 23.5, 19.3, 17.7) and the eight department rates both sum to 210 leavers over 1,022 starters, because they are two cuts of the same bridge. A department that spans entities, like Operations, will show one rate on the department view and be spread across four on the entity view; both are correct, and a reader who compares Operations' 25.2 with Digital's 25.0 is comparing a column with a row. The habit is to say which cut a rate comes from, in the same breath as its base. Deep-dive session 3 rebuilds both cuts from the table and shows the reconciliation as a check that runs every month.
The red cell. A department of about seventy shows attrition up four points on the quarter and goes red on the dashboard. The four points are three people, two of whom relocated with partners and one of whom retired. Nothing about the department changed. The dashboard could not know that, because it showed the rate and not the count, and the base was in a tooltip nobody opened. Constructed; the shape of the mistake is universal.
Regretted is a choice, and the choice stays visible
4 min liveNot every leaver is a loss. A retirement, a dismissal for performance, somebody leaving to study: a company would not have kept them by paying more. So dashboards split attrition into "regretted" and "not regretted", and the regretted figure is the one leadership watches. At Apex, it is 137 of 210, or 65.2 percent. That number is only as honest as the line that produced it, and the line is drawn by hand.
LiveFive categories in, six out: 137 of 2103 min▶
Apex records eleven exit reasons among its 210 leavers: Better Opportunity 33, Career Growth 33, Compensation 29, Management/Culture 23, Relocation 19, Work-Life Balance 19, Unknown 17, Personal/Health 15, Involuntary/Performance 10, Retirement 9, Further Study 3. All constructed. "Regretted" is a rule that sorts those eleven into two piles. The rule used here counts Better Opportunity, Career Growth, Compensation, Management/Culture and Work-Life Balance: 137 people, 65.2 percent of the 210.
Every line in that rule is arguable. Is a relocation regretted? The person would have stayed if the company had a site in the new city, so maybe. Are the 17 Unknowns regretted? Nobody asked, or nobody answered, and putting them either side moves the figure by eight points. The honest way to report a regretted rate is with the categories beside it, so that the reader can see which pile each one landed in and argue. A regretted figure reported alone, with the rule in somebody's head, is a number that cannot be disagreed with because it cannot be seen.
The same discipline applies to "voluntary", "controllable", "avoidable" and every other adjective a dashboard puts in front of "attrition". Each is a line through the categories. Show the line.
Self-studyWhy no cost figure appears next to the rate2 min▶
The sentence that usually follows a regretted rate is "and replacing each of them costs 1.5 to 2 times salary". That range circulates widely and has no measured source: it is attributed to an analyst's estimate rather than to a study that counted the costs. The professional body most often cited for it, SHRM, publishes its own range as 50 to 200 percent of salary, which is wide enough to contain almost any conclusion and is itself a range of estimates. A cost of attrition figure is not a fact about a company until that company has counted its own recruiting, onboarding and vacancy costs, and most have not.
What can be said without a cost figure is often stronger: 137 people whose reasons the company could in principle have addressed, 54 of them from one department of 108, most of them under two years' tenure. Those are counts, they reconcile, and a board can act on them without multiplying anything by an unmeasured constant.
The Apex rate card, on paper
★ 22 min · everyone works it throughSix worksheet steps that take a rate and give it everything it needs to travel safely: its base, its period, the annualising assumption if there is one, the split with the base under each group, the regretted rule with its categories, and a benchmark on the right clock. The benchmark is real: the US quits rate, monthly, from the Bureau of Labor Statistics. Everything Apex is constructed. Work each step for your own company as we go.
Step 1 · The rate, with its base and period. Start from the bridge in Foundations session 1. Write the flow, the base you chose, and the two dates. Apex: 210 over the average base 941.5, 1 January to 30 June 2026.
Step 2 · Annualise, and write the assumption. If the period is shorter than a year and somebody will want a yearly figure, produce it with the multiplier and the assumption on the same line. Apex: 22.3 times two, 44.6, if H2 repeats H1.
Step 3 · Split it, base under each. Choose one cut (department or entity), one base rule for every group, and print leavers of base beside every rate. Add a column for what one person is worth in points: 100 over the base. Apex's eight departments are in the figure above.
Step 4 · The regretted rule, with the categories. List every exit reason with its count, draw the line, and total both sides. Apex: five categories above the line, 137 of 210, 65.2 percent.
Step 5 · The benchmark, on the right clock. The US quits rate for December 2025 is 2.0 percent of employment, per month, voluntary quits only, every employer. To hold it beside a half-year figure, scale it and say how. Then say why the two still differ: country, employer mix, and a monthly rate that can count the same seat twice.
Step 6 · The sentence. One line that carries the rate, the base, the period, the annualising assumption, the regretted rule and the benchmark's scale. Long, and every word is load-bearing.
The rate card is the unit of honesty. Any attrition number that reaches a slide without its base, its period, its annualising assumption and its regretted rule beside it has had at least one decision made for the reader without telling them. The card is short. Keep it with the number.
Before Foundations session 3
30 min- Find an annualised figure in a report you have access to and write the period it was built from and the assumption it makes. If neither is stated, that is the finding.
- Split your own attrition by one cut, same base rule everywhere, and print leavers of base beside every rate. Mark every group under about a hundred people.
- Write your regretted rule as a list of categories on each side of the line, with counts. If your organisation reports a regretted rate and nobody can list the categories, that is the finding.
- Bring the card. Foundations session 3 moves from people leaving to people arriving: the hiring funnel, where every stage is a rate with a base of its own.
Three questions
Clear all three and Foundations session 2 gets stamped in your passport.
1 · A slide says "attrition 44.6 percent". Apex's measured half-year rate on the average base was 22.3. What is the 44.6, and what does it assume?
Doubling is a forecast in the clothes of a measurement. It is not wrong, but it stops being honest the moment the word "annualised" and the assumption fall off the number.
2 · HR's attrition went from 9.3 to 12.0 percent between two dashboards, and the cell turned red. HR has 75 people. What happened?
100 over the base is what one person is worth in points. Under about a hundred people the rate cannot carry a trend, and the count is the honest number.
3 · Apex reports regretted attrition of 65.2 percent, 137 of 210. What must appear next to that figure for it to be usable?
The line is a decision, not a measurement. A reader who can see the categories can disagree with the line, which is what makes the number defensible. The cost multiplier in option A has no measured source and is not claimed.
What this session teaches, and where it came from
Every fact on this page, and its verification tier, is recorded in the course's source map.
Foundations session 2 cheat sheet · pin this
You can put a base, a period and an assumption under any attrition rate. Foundations session 3 turns the tank around and looks at the pipe that fills it: the hiring funnel. Apex's constructed funnel runs 400 applicants to 120 screened to 40 interviewed to 12 offers to 10 hires, and every one of those steps is a rate whose base is the step before it. Then two clocks that get confused for each other, time-to-fill and time-to-hire, and one metric for whether the funnel treats groups differently, with the evidence from two studies on what happens at the screening stage.