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Plant leadership wants one monthly quality number for the 30-day failure model while most of the month's predictions are unresolved - what do you publish, and what do you commit to?

level: principalimportance: nice to knowfreq 31%

answer

  1. three numbers, different provenance
  2. the calendar is set by the horizon
  3. official versus provisional
  4. as-of stamp and maturity share
  5. restatement policy written in advance

basics

~20 s

Publish the last fully matured cohort as the official figure, plus a clearly marked provisional estimate carrying an interval and a maturity percentage, and commit to a restatement policy that says when a number becomes final and who is told when it moves.

solid answer

~50 s

Three numbers are available and none substitutes for another: the **matured-cohort figure**, which is final but a month or more behind; a **censoring-aware provisional estimate**, which uses partial windows and comes with a wide interval; and a **proxy nowcast**, which is immediate and carries a measured bias. The horizon sets the calendar - with a 30-day window and a 7-day reconciliation lag, a report published on the seventh of the following month has exactly one day's cohort final, so the last complete month is the month before the one being discussed. Publish the matured figure as the official number, show the provisional estimate as a separate marked series with its maturity share, and write the restatement policy down: what is provisional, when it becomes final, who is notified when it moves, and that cohorts of different maturity are never compared.

go deeper

for a junior

Remember that a monthly quality number can only describe predictions whose outcomes have arrived, which is usually an earlier month than the one on the report's cover.

for a middle

Work the calendar out from the horizon and the reconciliation lag, and explain why a figure for a cohort stays provisional until that cohort matures.

for a senior

Show the operating discipline - as-of stamps, maturity shares, a marked provisional series, and a refusal to compare cohorts of different maturity in a review.

for a principal

Own the tradeoff explicitly: lag against bias, one named official figure rather than three of equal weight, a restatement policy published in advance, and which decisions may run on an estimate at all.

## Three numbers, all defensible, none interchangeable | figure | latency | what it actually claims | how it misleads | |---|---|---|---| | matured-cohort figure | horizon + reconciliation lag | every prediction in this cohort has an adjudicated outcome | describes a model version that may already have been replaced | | censoring-aware provisional estimate | days | given partial observation windows, quality is probably in this band | a wide interval gets quoted as its midpoint | | proxy nowcast | hours | a correlated operational signal is moving this way | a measured bias gets forgotten and the number is read as quality | The error to avoid is not choosing wrongly among them. It is publishing one number whose provenance is unstated, so a reader cannot tell which of the three they are holding. ## The calendar the horizon forces Work it through rather than asserting it. Horizon 30 days, reconciliation lag 7 days, monthly report published on the seventh of the following month: - a prediction made on 1 January closes its window on 31 January and is adjudicable on 7 February; - a prediction made on 31 January is not adjudicable until 9 March; - so on 7 February exactly one day of January is final, and the last month that is complete end to end is December. That is uncomfortable and it is arithmetic. The choice is which discomfort to take: a final number about a period that already feels like history, or a fast number about the present that will move. ## The reporting contract 1. **Stamp every figure** with the cohort dates it covers, the as-of time it was computed, and the share of that cohort already matured. A number without those three travels badly and is misread within a week. 2. **Mark provisional against final** visually and in the data, so a chart shows where the final section ends and the estimated section begins. 3. **Publish the restatement policy before the first restatement.** It states what may change, the maturity threshold at which a figure becomes final, who is notified when a published number moves and by how much, and that prior versions are kept rather than overwritten in place. 4. **Forbid mixed-maturity comparisons.** Comparing this month's provisional figure with last quarter's matured figure produces a gap that is an artefact of maturity; if a comparison is wanted, compare like-aged cohorts. 5. **Say who may act on a provisional number.** Reversible, cheap decisions can run on an estimate with an interval; irreversible ones - retiring a line, standing down a maintenance contract - wait for a matured cohort. ## What the review budget buys Recall does not arrive on its own: without a sampled audit of the assets the model stayed quiet about, the quality number is one-sided no matter how mature it is. Cutting the audit does not make the report cheaper, it makes it partly fictional while leaving it looking identical. If the budget genuinely will not stretch, the honest move is to publish precision alone and say so in the same sentence, rather than to let a one-sided number be read as overall quality. ## The judgment a lead actually owns - **How much lag the business will absorb against how much bias it will tolerate.** This is a business decision with a technical floor, and it differs per decision rather than per report: an operations review can work from a band, a capital decision cannot. - **Which single figure is the headline.** Publishing three numbers with equal weight guarantees that whichever is most flattering gets quoted. Name one as official and demote the others explicitly to supporting evidence. - **What the organisation is told when a number moves.** Restatement is normal here and it is still a credibility event the first time it happens unannounced. The policy exists to make the first restatement boring. - **When to stop paying for an estimate nobody uses.** If the provisional series has never changed a decision in six months, its interval is too wide to be actionable and the budget belongs on shortening the reconciliation lag instead. - **What honesty costs.** Saying "the number for this month does not exist yet" is more defensible than producing one, and it is also the harder sentence to say in a plant review; the contract above exists so it only has to be said once, as policy, rather than argued every month.

  • What does a restatement policy have to say?
    Which figures are provisional, the maturity threshold at which one becomes final, who is notified when a published number changes and by what margin, and that superseded versions are archived rather than overwritten. Publishing it before the first restatement is what keeps that restatement from being read as a data-quality failure.
  • Who should be allowed to act on a provisional number?
    Decisions that are cheap to reverse - scheduling an extra inspection round, asking for a closer look at one line - can run on an estimate with an interval. Irreversible or expensive commitments wait for a matured cohort. Writing that split down in advance stops it from being renegotiated under pressure each month.
  • Leadership asks why the headline cannot just be the fastest available number.
    Because the fast number is a proxy nowcast with a measured bias and the headline will be quoted without that caveat. Offer it as a marked supporting series that shows direction, keep the matured cohort as the official figure, and show both on one chart so the gap between them is visible rather than hidden.

saying these in an interview costs you the question

  • Comparing this month's provisional figure with a matured month's number
  • Treating a restatement as evidence the pipeline was broken
  • Publishing a single point estimate for a mostly unresolved cohort
  • Headlining whichever of the three numbers is available first
  • Cutting the audit sample and still calling the result overall quality