INTRODUCING SIFT AGENTS. LEARN MORE
Test data traceability is the ability to connect a test result or engineering finding to its source measurements, test conditions, evaluation criteria, and review history. It lets a reviewer establish what was tested, how a conclusion was reached, and which evidence supports it.
Sift keeps findings connected to the telemetry and checks that produced them. Reports record Rule evaluations for a Run, while Data Review Annotations carry ownership, comments, and review status alongside the relevant signals.
Teams add Metadata such as a hardware revision, software version, or requirement identifier to preserve the context of the review. Rule version history tracks changes to evaluation logic. A reviewer can return to a flagged event, inspect its measurements, and read the reasoning recorded when the finding was accepted or marked for action.
See how test data traceability works in the Sift platform.
