GLOSSARY
Throughput
Throughput describes how much work a system processes within a unit of time. Depending on the measurement, this may mean requests, documents or tokens. The figure becomes useful to a business when it is clear which work was actually completed to an acceptable standard.
Background research and a live customer call
A service may process many company profiles together overnight. During a negotiation, an individual question needs an answer before the opportunity to act has passed. A configuration optimised for total throughput may group tasks and increase individual waiting times. Long documents and additional checks also change available capacity.
Planning therefore needs to distinguish task type, urgency and quality requirements. Queues need understandable priorities. Otherwise, a large background research job may delay an urgent decision while overall technical utilisation looks healthy.
Measuring the capacity that matters
A useful load test combines realistic request sizes, concurrent users and actual dependencies. Measure successful completions, errors, retries, cost and response times, including unusually slow cases. High throughput of unusable answers does not establish additional sales capacity. Its relationship with scalability becomes visible as these measures change under rising demand. That evidence informs whether to add resources, adjust priorities or redesign part of the workflow.