Category: Uncategorized

Define cases, contacts, affected payments, and event boundaries before building a payroll service-quality metric.

Match an exception count to the right payment population and show the denominator behind every reported rate.

Compare mean and median closed-case durations while keeping unresolved cases and their current ages visible.

Measure support workload without counting every follow-up contact as a separate payment failure.

Distinguish unknown values, missing records, and observed zeros so data gaps do not become false reassurance.

Check population, timing, definitions, and alternative explanations before interpreting a before-and-after change.

Use eight fictional cases to verify duration, contact, and payment-rate calculations while keeping their limits explicit.

Review definitions, exclusions, arithmetic, privacy, and claim wording before a metric becomes a management conclusion.