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Ensure every requirement is accounted for

The customer asked for one thing. Design did another. Test measured a third. Traceability is not a spreadsheet the week before the audit. It is seeing the chain while you can still fix it. The value is that the gap shows before the product is in series.

The Colleag workspace in the foreground. In the background two colleagues meet in the lab.

From customer requirement to test, without a broken chain.

You can point to the requirement. You can point to the test. What is missing is the link: does this case cover what the customer actually asked for, or only the NFC read while the battery requirement has no proof? Colleag.ai draws the chain and flags what has no test. You will recognise the 8D where someone writes “the requirement existed, but nobody ran it”.

The customer asked for one thing. The test measured another.

You can point at the requirement. You can point at the test. What is missing is the link: does this case cover what the customer actually asked for, or only the NFC read while the battery requirement has no evidence? The value is that the gap shows while you can still fix it, not in the 8D after series.

The chain should be kept while you build

Colleag.ai draws the chain from customer requirement to spec, design and test. Requirements without tests, and tests without requirements, show as gaps. Excel before the audit is a reconstruction. Here the chain is daily work.

When the requirement changes, downstream should show

A changed customer requirement should show which specs, design choices and tests are hit, before anyone promises a date. Then you stop explaining afterwards that “the requirement existed, but nobody ran it”.

Key benefits

  • Automatic traceability from requirements through to verification
  • Coverage gap detection across the full development chain
  • Impact analysis when requirements change upstream
  • Visual traceability matrices generated on demand
  • Reduced risk of unimplemented or unverified requirements

Read more

How do you make sure a customer requirement reaches design, implementation and test, and that the chain can be shown? Colleag.ai keeps traceability in the documents, not in a separate ALM grid. ERP does not know the requirement. PLM may have a link. The project tool has user stories without a product chain.

Traceability that only lives in an ALM spreadsheet dies when nobody opens the sheet. Colleag.ai keeps the chain in the product files: customer requirement, spec, test, result. When the auditor asks, the chain can be shown without a documentation sprint.

ERP does not know the requirement. PLM may have a link from item to document. The project tool has user stories. None of them show that the test case still covers the clause the customer signed.

How this differs from ERP, PLM, LCM and project systems

ERP
ERP has no path from customer need to test result.
PLM
PLM sometimes links. It does not explain the chain in prose an auditor understands.
LCM
LCM versions. It does not prove coverage.
Project management systems
Stories in Jira are work. Traceability to the drawing is Colleag.ai.

What Colleag.ai does here that those systems do not

  • Requirement to test in the same tree as the product
  • A broken link shows as a gap, not a surprise
  • Evidence you can produce in the audit

See it in action

Book a 30-minute demo and see how Colleag.ai handles this for your team.

Book a demo