L4-M4 / lesson 1 of 2
A creditworthiness system's scores drop after an upstream data change.
Start here / A workplace decision
A creditworthiness system's scores drop after an upstream data change.
A dashboard shows a sudden distribution shift.
Before you read / Think it through
Pause and form your answer, then compare the reasoning. This reflection is not scored.
Compare the signal with thresholds and begin triage.
The ideas below give you a method for this decision. Then work through the rest of this case and try the decisions yourself.
Article 72 requires an appropriate post-market monitoring system.
Actively collect and analyse relevant performance information.
A complaint inbox alone may miss silent failures. Include planned signals from deployers, tests, incidents and changed operating conditions.
Connect the plan to technical documentation and risk management.
A high-risk creditworthiness system starts producing unusually low scores after an upstream data-format change. A deployer reports that eligible applicants were rejected, including a cluster from one region. The provider has not yet established the cause. The support team proposes waiting for the monthly dashboard before escalating.