How can teams measure source latency in Philippines operations?

Research question and scope: how long after a work item becomes actionable does its authoritative source become available, and what happens to the handoff while the team waits? Study one recurring queue, one named source class, and a fixed four-week window. Include completed, paused, returned, and cancelled items; excluding unresolved work would understate delay.

Methodology: record arrival time, readiness check, source owner, source request, source availability, first safe action, final disposition, and any correction. Compare items only within the same work class. Report medians and the full observed range, and retain missing timestamps as missing rather than estimating them.

GAO control principles and NIST governance concepts inform responsibility and reliable information; the World Bank frames why fit-for-purpose data matters. These references shape the study design but do not supply a Philippines benchmark, measure OutsourcedLabor.com, or show that staffing location causes delay.

Inference limits and limitations: observational timing cannot prove the late source caused a business outcome. Private messages, overwritten records, changing priorities, small samples, and unrecorded offline work may distort results. Publish the inclusion rule and missing-data count, then test one source-handshake change in a later comparable window.