Sample inputs
Sample working view
Weighted Score4.40 / 5.0
Hiring DecisionSTRONG HIRE
Red Flag Count0 flags
Competencies Evaluated5 pillars
5 sample rows
| Competency Pillar | Weight (% Share) | Score (1-5) | Weighted Points | Observed Evidence / Interview Notes |
|---|---|---|---|---|
| Technical Architecture & System Design | 30 (30%) | 5 / 5 | 1.50 | Outstanding distributed systems design; clearly explained KV-cache sharding |
| Problem Solving & Algorithmic Rigor | 25 (25%) | 4 / 5 | 1.00 | Solved complex concurrency deadlock cleanly; minor optimization missed |
| Production SRE & Operational Reliability | 20 (20%) | 4 / 5 | 0.80 | Deep incident post-mortem experience; articulated clear MTTR reduction metrics |
| Leadership & Cross-Functional Communication | 15 (15%) | 4 / 5 | 0.60 | Excellent mentorship examples; presented complex ideas clearly to non-engineers |
| Cultural Alignment & Ethical Values | 10 (10%) | 5 / 5 | 0.50 | Strong alignment with blameless culture and user privacy values |
Read the sample report
CANDIDATE INTERVIEW EVALUATION & HIRING SCORECARD Candidate: Dr. Ananya Sharma | Role: Principal AI Systems Architect Overall Weighted Score: 4.40 / 5.0 | Hiring Outcome: STRONG HIRE Decision Breakdown: - Competencies Evaluated: 5 weighted criteria (100 total weight points). - Red Flag Alerts: None detected. Candidate cleared all compliance checks. - Anchor Score Legend: 5 = Exceptional/Expert, 4 = Exceeds Bar, 3 = Meets Bar, 2 = Below Bar, 1 = Unacceptable. Hiring Committee Recommendation: Candidate demonstrated strong competency-aligned evidence. Proceed to formal reference check and offer negotiation.
Scorecard reflects structured subjective ratings backed by documented interview evidence. Maintain scorecard for audit trail and talent review.