Author: admin

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

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

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

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

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

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

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

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