Automated Interview Score Aggregator & Calibration Tool
Seed: Interview scores (candidate_id, interviewer_id, competency, score), weighting rules; aggregated score = SUM(score*weight)/SUM(weights)ADVERTISEMENT - IN-ARTICLE
Implementation Guide
Aggregates structured interview scores, normalizes across interviewers, computes composite fit-scores, and provides calibration adjustments to remove rater bias. Includes consensus flags when raters disagree significantly and produces shortlist rankings with rationale snippets for hiring managers. Useful for TA teams to present defensible shortlists and to calibrate interviewers during panel debriefs.
💡 Expert Q&A Insights
Q: \
How to adjust for interviewer bias?\" \"
Q: Compute interviewer z-scores across historical interviews and apply adjustment factors to recent scores.\"\n\"
Can it suggest next-step interviews?\" \"