Refuse to run an operational review from a sheet that cannot tag its cells. Ops decisions rot when actuals, estimates, and mocks share a column with no provenance. The failure is not bad math; it is treating three epistemic kinds as one fact.
Column C tracks live monthly attainment—reconciled revenue pulled from bank feeds and verified by ledger entries. Column D tracks the quarterly target—a round placeholder typed in during a midnight layout check months ago, meant only to verify that downstream variance formulas didn't break.
The software renders both columns in the exact same typeface, right-aligned, side by side. To the grid, every number is created equal. The application cannot tell whether a cell holds audited history or a temporary scaffold, so it displays both with identical visual authority.
Human memory does not survive the quarter. Within weeks, the analyst who seeded the scaffold has moved on, and the context evaporates. In the monthly review, nobody remembers that Column D was an unverified placeholder. The room debates an operational miss against a target that was never real. They audit the formulas, verify the cell ranges, and confirm the arithmetic. The arithmetic is spotless. The conclusion is pure fiction.
When actuals, estimates, and mocks live in identical cells without tags, the entire model silently collapses to the reliability of its weakest input. Audited attainment loses its grounding because it is evaluated against a phantom baseline. Untagged estimates harden into historical facts simply because they survived three review cycles without being challenged.
Provenance on every figure beats a prettier dashboard.
Every cell entering an operational review must declare its lineage: what was directly measured, what was inferred through a model, and what was placed solely to hold open the structure. The moment a figure enters a grid without its ancestry, people stop asking where it came from and start building commitments on top of it.
A number without a tag is a rumor with decimals.