Auditing Project Match Score

• Default Off (Self-service)

Who: Audit team

Requirements: Access to Projects

What's new: This feature introduces the capability to capture and store AI match scores at the exact moment a project recruiting decision occurs. Because match scores evolve with profile updates, retroactive validation of past decisions was previously impossible. The system now preserves match score data and its core components, such as Skill, Work, and Title Relevance within a project audit trail during critical decision points (such as acceptance, rejection, or invitation). This ensures a permanent, auditable record that demonstrates which data influenced a project assignment. 

How it works: The system logs the match score and relevant metadata to the project audit trail in the ‘match_stars_audit_log’ table within Datahub whenever a Project Owner takes a terminal action, such as accepting, rejecting, or inviting an applicant. These logs remain retrievable through Data Hub for internal audits and compliance reviews. 

Value: Ethical AI to Mitigate Bias and Promote Diversity in TM.