A chart can show depth, but the prudent mariner still pays attention to what is beneath the
keel. Conditions change. Surveys age. Sediment moves. What appears safely navigable may not
match what is actually there.

Organizations face the same problem whenever a decision rests on data, reports, dashboards,
or widely accepted assumptions. Information can look precise while concealing uncertainty,
inconsistent definitions, missing context, or fragile evidence.

The Appearance of Certainty

A number presented in a polished report often acquires more authority than it deserves.
Once repeated often enough, it may become accepted as fact even when nobody can explain:

• where it came from;
• what it includes or excludes;
• when it was last updated;
• who is responsible for it; or
• whether it is suitable for the decision being made.

The problem is rarely that the number is entirely wrong. More often, it is only partly
understood. Its limitations have been separated from the result, leaving decision-makers
with confidence but not context.

Take the Sounding

Taking soundings does not require proving every fact beyond doubt. It means checking the
conditions that matter before relying on the information.

Useful questions include:

• What decision is this information expected to support?
• How is the measure defined?
• Which systems and transformations produced it?
• What assumptions were introduced along the way?
• What known gaps or exceptions remain?
• How much confidence does the decision actually require?

These questions turn data quality from a broad technical concern into a practical judgment
about fitness for purpose.

Depth Depends on the Passage

Not every decision requires the same degree of verification. A rough estimate may be
sufficient for an early conversation. A regulatory submission, capital investment, or
operational intervention requires firmer ground.

The appropriate level of assurance depends on consequence. The greater the cost of being
wrong, the more carefully the underlying information should be examined.

This is why universal declarations that data is either “good” or “bad” are rarely useful.
The better question is whether it is sufficiently complete, current, traceable, and
understood for the passage ahead.

Leave a Mark

A sounding has little lasting value if the result disappears with the person who took it.
Important definitions, assumptions, limitations, and unresolved questions should be retained
alongside the information they qualify.

This does not require elaborate documentation. A concise definition, named owner, source,
refresh date, and known-issues note can prevent the same uncertainty from being rediscovered
each time the measure is used.

The objective is not perfect information. It is enough visibility to distinguish established
ground from untested assumption.

Before debating the answer, establish how the depth was measured.