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Interview Scorecards

Rate candidates across evaluation criteria and submit stage recommendations

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Candidates

Priya Sharma headshot

Priya Sharma

Senior ML Engineer · Technical Interview

Interviewer: Alex Chen · Jun 1, 2026

0 of 5 criteria rated
1

Technical Fit

Weight: 35%

Depth of technical knowledge, problem-solving ability, and relevant skill proficiency

Not rated
1–3 Poor4–5 Below Avg6–7 Average8 Good9–10 Excellent
2

Communication

Weight: 25%

Clarity of expression, active listening, ability to explain complex ideas concisely

Not rated
1–3 Poor4–5 Below Avg6–7 Average8 Good9–10 Excellent
3

Culture Alignment

Weight: 20%

Alignment with company values, collaborative mindset, and team dynamics fit

Not rated
1–3 Poor4–5 Below Avg6–7 Average8 Good9–10 Excellent
4

Leadership Potential

Weight: 10%

Initiative, ownership mentality, and ability to influence without authority

Not rated
1–3 Poor4–5 Below Avg6–7 Average8 Good9–10 Excellent
5

Growth Mindset

Weight: 10%

Curiosity, adaptability, and openness to feedback and continuous learning

Not rated
1–3 Poor4–5 Below Avg6–7 Average8 Good9–10 Excellent

Overall Interview Notes

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