SuperAPI AI Directory

candidate-scorecard

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Updated 10-16 01:18

About this skill

Candidate Scorecard Skill

A scorecard converts a fuzzy "I liked them" into an evidence-based, comparable evaluation. It rates the candidate against the same competencies the role defined, ties each rating to specific evidence from the interview, and lands a clear recommendation — so debriefs are about evidence, not who argues hardest. (For the role's question set and competencies, pair with interview-question-bank.)

Working from a brief

Given rough interview notes, produce the full scorecard anyway — organize the evidence under the relevant competencies and give a rating + recommendation, marking where evidence is thin (low confidence / probe next round). Never invent things the candidate said; if a competency wasn't assessed, say so rather than guessing.

Required Inputs

Ask for these only if they aren't already provided (else mark as not assessed):

  • The role & competencies — what's being assessed (or use the role's interview kit).
  • Interview notes — what the candidate said/did, ideally with examples.
  • The interview scope — which round/competencies this interviewer covered.
  • Scale — the rating scale to use (e.g. 1–4: strong no / no / yes / strong yes).

Output Format

Candidate Scorecard: [name] — [role]

  • Summary — one-line read: overall rating and the headline reason.
  • Per-competency assessment — for each competency assessed:
Competency Rating Evidence (what they said/did) Concern / gap

Mark any competency you couldn't assess as Not assessed.

  • Strengths — the 2–3 clearest, evidence-backed.
  • Risks / gaps — the real concerns, with the evidence (not vibes).
  • Open questions for next round — what to probe to resolve uncertainty.
  • Recommendation — Hire / No hire / Lean yes / Lean no, with a confidence level and the one-sentence rationale.

Quality Checks

  • Every rating is tied to specific evidence from the interview, not impressions
  • Competencies not actually assessed are marked "Not assessed", not guessed
  • Strengths and risks are concrete and balanced — not a one-sided narrative
  • The recommendation states a confidence level and what would change it
  • Open questions hand the next interviewer something specific to probe
  • No invented quotes/claims; bias-prone "culture fit" is replaced with job-related evidence

Anti-Patterns

  • Do not rate on overall vibe — anchor each score to what the candidate actually demonstrated
  • Do not invent or embellish what they said to justify a rating
  • Do not score competencies you didn't test — flag them for the next round
  • Do not hide low confidence behind a confident-sounding verdict — say how sure you are
  • Do not lean on "culture fit" as a reason — name the specific, job-related concern

Based On

Structured-hiring practice — competency ratings anchored to evidence, calibrated recommendations with confidence, and bias-aware, decision-ready debriefs.