Parts Return and Quality Analysis Meetup 3

When “No Trouble Found” Is Not The End Of The Parts Return Story

Parts return analysis can end with three words: “no trouble found.” On the bench, the component behaves as expected. In the field, the story may be less tidy. A customer has returned. Technician notes describe an intermittent condition. Repair history points to repetition. Diagnostic data suggests that something changed.

If the process closes with one passing test, the organization may have completed an analysis without resolving the problem.

That tension shaped the third meetup of the MAPconnected Parts Return & Quality Analysis Leadership Xchange Group.

Facilitated by Daryl Kreskowiak, Director, NA Warranty Recovery at Stellantis, the discussion followed the work that begins after a part arrives: bringing the evidence together, testing the conclusion, agreeing on responsibility and turning the finding into corrective action.

Participating OEMs included Cummins, General Motors, Volkswagen, Kia, Slate Auto and Stellantis.

The Returned Part Is Evidence, Not The Whole Case

A component can reveal a failure, but it cannot always explain the circumstances around it. Participants identified technician comments, diagnostic data, repair history, customer concerns and internal testing as evidence that can change the meaning of a bench-test result.

The operating question is therefore not simply, “Did the part fail?”

It is, “Does the result explain what happened in the vehicle?”

That distinction matters when teams are trying to identify root cause. Without the field context, engineering and suppliers may receive an isolated object rather than a usable account of the condition it came from. Better analysis begins before testing, with the quality and completeness of the information that travels with the return.

“No Trouble Found” Should Open A Question

A trouble-not-found result is useful. It tells the team what one test did not reproduce. It does not automatically prove that no problem exists.

When repeat repairs, vehicle history or diagnostic evidence point in another direction, the group discussed the need for additional testing and a clear escalation path. The cause may sit in the component. It may also involve vehicle integration, diagnostic logic or another condition that a single test cannot reveal.

The risk is not the phrase itself. The risk is treating it as the end of the investigation when the rest of the evidence remains unresolved.

Supplier Disagreement Needs A Working Process

The discussion also moved into a familiar pressure point: what happens when an OEM and supplier do not read the evidence in the same way?

Several organizations use structured systems to return incomplete findings for further review and escalate cases when necessary. The purpose is not to reject a supplier conclusion by default. It is to create a feedback loop that makes the disagreement examinable: What evidence is missing? Which test should be repeated? Who has the authority to move the case forward? What would establish an agreed root cause?

Without that structure, a disputed result can sit between organizations. With it, the disagreement becomes part of the analysis rather than a reason for the process to stop.

The Finding Must Reach Corrective Action

An analysis has limited value if it remains inside a report.

Participants are working to connect findings more directly with engineering action, supplier changes and clean breakpoints. That connection helps teams answer two practical questions: Has the return campaign produced enough evidence to support a change? Once the change is in place, when can the organization stop collecting the part?

This is the larger shift described during the meetup. Parts return is not only a collection process. It is one stage in a problem-resolution system.

Turnaround Time Changes The Value Of The Evidence

Not every return carries the same urgency, but delay has consequences. High-priority parts may need to move quickly even when suppliers face capacity limits, shipping delays or competing internal demands.

Faster flow can reduce inventory and facility costs. More importantly, it can shorten the distance between what happened in the field and the decision required to correct it. A strong result delivered too late may arrive after the organization has accumulated more claims, more returned parts and more customer disruption.

The useful measure is not speed in isolation. It is whether the process moves the right evidence to the right decision quickly enough to matter.

Where AI May Help, And Where Judgment Still Matters

The group explored two practical AI opportunities: identifying related parts that may warrant return, and comparing analysis findings with vehicle history, diagnostic information and technician comments to flag inconsistencies.

Both uses point to the same role. AI can help narrow the field and direct attention. It does not remove the need for experienced people to interpret the evidence, challenge an incomplete conclusion and decide what action the organization should take.

6 Questions For Parts Return Leaders

The meetup leaves leaders with a practical review:

Does every returned part arrive with enough field context to support meaningful analysis?
What triggers additional testing when a trouble-not-found result conflicts with repair history or diagnostic evidence?
Is there a defined escalation path when OEM and supplier findings do not align?
Can the team trace an analysis result through engineering action, supplier change and the clean breakpoint?
Are high-priority returns moving quickly enough to influence the decision?
Could AI help identify inconsistencies while keeping experienced human judgment at the center?

Continue The Parts Return & Quality Analysis Conversation At The Summit

The Parts Return & Quality Analysis Group will meet next onsite at the 6th annual Service & Warranty Lifecycle Summit, October 19–21 at The Westin Southfield Detroit.

Featured Xchange Group sessions include:

• High-Value & Complex Components Risks

• When Software Meets Hardware: Who Owns the Analysis?

• An AI-SWLM end-to-end process walkthrough to identify practical, high-impact AI opportunities across Warranty Administration responsibilities

For leaders responsible for parts return, analysis, supplier recovery, quality or warranty performance, the October program offers a practical opportunity to benchmark current processes against peers and leave with clearer priorities for return strategy, analysis effectiveness, corrective action and emerging technology opportunities.

MAPconnected’s MyWarrantyNetwork also connects leaders through six other Leadership Xchange Group themes: