A configuration analyst updates an overtime rule, keys a few punches into a test employee, looks at the timecard, and decides it looks right. The change is approved. Was it tested? In one sense, yes. Something ran, and someone looked at the result. But nobody wrote down what the result should have been before they looked, so there is nothing to prove it was correct. That is the second area of WFM testing risk: test coverage.
In software, coverage often means how much of the code is exercised by tests. In WFM configuration, a more useful definition is this: for each rule that calculates time, is there a written test that says exactly what the correct result is?
That includes pay rules, work rules, accruals, premiums, overtime and scheduling behavior. Each one governs specific timecard scenarios: a shift that crosses midnight, a holiday worked, a call-back, a meal break missed, an accrual that caps at a limit. Coverage is how many of those scenarios have a test with a defined expected outcome.
Good test coverage has four parts.
A simple example of a written test:
This is illustrative, but the structure is what matters. Anyone reading it can tell whether the timecard was right.
In many WFM teams, the person who made a change is also the person who checks it. This is not carelessness. It is what happens when testing is fitted around day jobs and nobody has written down what correct looks like.
Self-checking has two weaknesses. The first is that the person who made the change tends to test the scenario they had in mind when they made it. If they misunderstood the requirement, the test reflects the same misunderstanding. The second is that without a written expected result, the check confirms only that the system produced an answer. It does not confirm the answer was right.
The gap shows up in a predictable way. A change passes review, goes live, and the error is found later by an employee, a manager or a payroll analyst looking at a result that does not match expectations. By then the miscalculated timecard has often made it through to pay.
It can seem simpler for the configuration team to define expected results themselves. They know the system. But they are not always the right people to say what a provision in a union agreement means, or how a local pay or scheduling ordinance applies to a split shift. When the business owner signs off the expected result, two things improve: the test reflects the real requirement, and the business has a clear record that it agreed with how the rule should behave.
Take the ten rules that touch the most employees. For each one, write a plain-English test: the setup, the punches and the expected result. Ask the business owner of each rule to confirm the expected result. A spreadsheet with four columns (rule, scenario, punches, expected result) is enough to start. You now have the core of a baseline you can re-run after every change.
Need to scale your testing? TestAssure helps WFM teams write tests once, in plain English that business SMEs can review and approve, then runs them automatically against a known-good baseline. To see how your manual coverage compares to automation, book a time to connect with our team through the form below.