This research is general operational information, not legal, tax, accounting, employment, benefits, privacy, cybersecurity, insurance, or financial advice.
Research question and scope
This protocol examines duplicate payment prevalence. It reports what one defined record can show in a fixed window and does not claim an industry rate or a causal effect.
Population and unit of analysis
The unit is one payment candidate at review. Using one unit keeps linked events from being counted as independent successes or failures.
Definitions and measures
The measure is the share flagged as duplicate and the confirmed duplicates. Publish the denominator and time window beside each count.
Evidence and data dictionary
Collect the invoice pair, vendor, amount, and bank record. Keep missing, unavailable, and confirmed negative as separate states.
Sampling and collection
The sample is payments reviewed during one quarter. Record the observation date and exclude items already open before the window.
Analysis and reporting
Report candidates by vendor and payment method. Separate staff behavior from system behavior whenever the evidence supports it.
Limitations and sources of error
Limits include legitimate reissues and vendor record changes. State them beside the finding and avoid turning a small sample into a universal standard.
Review cadence and next action
The next step is to tighten one duplicate rule after a confirmed miss. Re-test a later sample after the change.