precisio
← Back to site

Feedback History

Past interview feedback and AI learning progress.

AI Learning Progress

Algorithm updated based on 8 feedback instances

40%

Target: 20 feedback instances for full model calibration

Recommendation Accuracy

70%
+2% vs baseline

AI hire recommendations matching final decisions. Improves as more feedback is submitted.

Filter by:8 results
Maria GarciaStrong Yes
Role: Product ManagerInterviewer: Priya PatelDate: 2026-03-17
Overall: Technical: Culture Fit:
4.7

avg score

Emma WilsonYes
Role: Marketing LeadInterviewer: Sarah ChenDate: 2026-03-15
Overall: Technical: Culture Fit:
3.7

avg score

Kevin LeeNo
Role: DevOps EngineerInterviewer: James ParkDate: 2026-03-14
Overall: Technical: Culture Fit:
2.3

avg score

Sophie TurnerStrong Yes
Role: UX DesignerInterviewer: Mia RodriguezDate: 2026-03-13
Overall: Technical: Culture Fit:
4.7

avg score

Brian NguyenYes
Role: Data ScientistInterviewer: Priya PatelDate: 2026-03-12
Overall: Technical: Culture Fit:
3.7

avg score

Alice JohnsonStrong No
Role: Senior Frontend EngineerInterviewer: Sarah ChenDate: 2026-03-11
Overall: Technical: Culture Fit:
1.7

avg score

David KimYes
Role: Backend EngineerInterviewer: Tom WilliamsDate: 2026-03-10
Overall: Technical: Culture Fit:
4.0

avg score

Lena SmithNo
Role: Product ManagerInterviewer: James ParkDate: 2026-03-09
Overall: Technical: Culture Fit:
2.7

avg score