Missing serial number linkage
Test results may exist, but not be reliably tied to a unit, batch or work order.
Traceability
Connect every test result to the product, station, limit, timestamp and quality context needed for investigation and evidence.
Test data traceability is the ability to connect a product or unit to the test records, limits, stations, timestamps and outcomes associated with it. It helps manufacturing and quality teams prove what happened during test, retest, release and investigation workflows.
Test data traceability is the ability to connect a product or unit to the test records that prove what happened during manufacturing, validation or inspection.
A traceable test record should show what was tested, when it was tested, where it was tested, what limits were applied, what the measured result was and whether the unit passed, failed, retested or shipped.
Traceability matters when test evidence needs to support quality, customers, auditors or internal engineering teams.
This is especially important in high-reliability and regulated industries such as:
A strong test data traceability model should connect:
Test results may exist, but not be reliably tied to a unit, batch or work order.
A unit may have failed and passed later, but the sequence of events is hard to reconstruct.
Teams may not know which limits were applied at the time of test.
The result may not show which station, fixture or software version produced the measurement.
When a customer or auditor asks for proof, teams need to search through files, folders and spreadsheets.
Teams can provide clearer proof of test results, pass/fail outcomes and production history.
Quality teams can retrieve evidence without rebuilding the story manually.
Engineering and quality teams can trace failures back to products, batches, stations, fixtures or process changes.
Traceability helps teams identify patterns behind failures rather than treating each issue as isolated.
Arc helps teams structure test data around the context needed for traceability.
This gives manufacturing, quality and engineering teams a clearer path from a product or quality issue back to the underlying test evidence.
Analytics identifies patterns across many test records. Traceability explains what happened to a specific product, unit, batch or shipment. Manufacturing teams often need both: analytics for trends and traceability for quality evidence.
It means being able to trace a product or unit back to the test records, limits, stations, timestamps and results associated with it.
It supports customer evidence, audits, failure investigation, quality control and regulated manufacturing workflows.
Traceability explains what happened to a specific unit, batch or product. Analytics identifies patterns across many test records.
Aerospace, defence, medical devices, automotive electronics, batteries, electronics manufacturing and semiconductor teams often need strong traceability.
Yes. Retest history is an important part of traceability because it shows whether a unit failed, was reworked and later passed.
Bring a recent quality investigation or customer evidence request and we’ll map the test records needed to support it.
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