Scoring Interpretable Design
The platform uses decision tree visualization technology to break down the AI scoring process into traceable judgment nodes. For example, for the evaluation of the problem of "handling customer complaints", it will display specific dimensions such as "matching degree of emotional appeasement wording (85%)", "completeness of solution steps (72%)", and labeled with "detection of standard criteria such as 'deeply sorry'", and so on. " and other specific dimensions, and labeled "Detected standard phrases such as 'I'm so sorry'" and other basis for judgment. The audit report of Deloitte & Touche shows that this mechanism has improved the efficiency of manual review by 40%, and the rate of score adjustment has dropped from 15% in the initial period to 3% in the stabilization period, and the system retains all the records of modifications for the iteration of the model, and the version of the assessment algorithm is automatically updated on a monthly basis.
This answer comes from the articleEquip AI Interviews: automate candidate interview screeningThe
