What is training coverage?
Training coverage states what proportion of a defined population has been trained on the current version of a policy as at a stated date. Each of those elements has to be fixed for the figure to mean anything, since a coverage number without a population and a date is an opinion. It is the headline metric in compliance reporting and the one most easily overstated.
Why the denominator decides whether coverage is credible
Coverage is the figure that reaches a board pack, which makes the definition behind it a governance matter. A denominator taken from the learning platform rather than from the system of record will exclude exactly the people least likely to have been trained, and the reported number rises accordingly. The same applies to version, since counting anyone trained on any revision produces a comfortable figure that an auditor dismantles in one question. Coverage is only as credible as the denominator and the revision it was computed against.
- The denominator determines the figure, so its source has to be stated alongside it.
- Counting any revision as current overstates coverage after every policy change.
- A single figure for the organisation hides the location where coverage is worst.
- Coverage measured at a date allows a trend, which a current snapshot cannot give.
How training coverage works
- The population is defined from the system of record for the roles in scope.
- The obligation names the policy and the revision that counts as current.
- Completions are matched to the population at the revision attested.
- Coverage is computed per location and per role as well as in aggregate.
- The figure is stored with its denominator so the date can be reproduced later.
- Leave and recent joiners are reported separately rather than absorbed into the figure.
How training coverage is evaluated
A coverage figure is assessed by auditing the denominator before anyone examines the numerator. Test the following for each reported period:
- source and date of the population used as the denominator
- coverage against the current revision only
- distribution of coverage across locations and roles
- reproducibility of a figure reported in a previous period
- count of people in the population with no record at all
Limitations, risks and common failure modes
- The denominator is taken from the platform, so people never assigned are never counted.
- Coverage reaches a high figure while the lowest location remains materially behind.
- Revision is ignored in the count, which conceals the effect of a policy change.
- Historic figures cannot be reproduced once the population has changed.