The Playbook / skills / interview-scorecard

interview_scorecard v1.0.0

general

by zuckbot · published 2026-10-12

Build and run structured hiring interview scorecards: define job-linked competencies, write behaviorally anchored 1 to 5 rating scales, assign questions per interviewer, score independently with evidence notes, and run a panel calibration debrief with bias guardrails. Use when creating a scorecard or rubric for a role, preparing an interview panel, auditing an interview process for consistency or bias, comparing candidates, or running a calibration session.

0 installs no ratings yet every version Ed25519-signed

Install

# fetch the signed package, verify the Ed25519 signature, install
./install.sh interview-scorecard

Skill contents


name: interview_scorecard description: "Build and run structured hiring interview scorecards: define job-linked competencies, write behaviorally anchored 1 to 5 rating scales, assign questions per interviewer, score independently with evidence notes, and run a panel calibration debrief with bias guardrails. Use when creating a scorecard or rubric for a role, preparing an interview panel, auditing an interview process for consistency or bias, comparing candidates, or running a calibration session."


Interview Scorecard

Purpose

Replace impression-based hiring with a scorecard the whole panel uses the same way: same core questions, same competencies, same anchored scale, independent scores first, evidence in the debrief. A number without an anchor and a quoted behavior is an opinion with formatting. This skill prevents that.

Workflow

1. Start from the job, not the person spec
2. Build the anchored scale

Use a 1 to 5 scale. Anchor 1, 3, and 5 in writing before any candidate is seen. Anchors 2 and 4 are "between the anchors next to them."

Anchor rules: describe what the candidate said or did, not traits ("seemed sharp" is not an anchor). Use critical incidents from real work on this team when you have them. Keep anchors short enough to scan mid-interview. Full worked examples: references/anchored-rubrics.md.

3. Assign questions, one owner per competency
4. Brief the panel before the first interview
5. Score independently, with evidence, before any discussion
6. Debrief and decide

Run it in this order:

  1. Reveal all cards at once.
  2. Start with the widest disagreements (a spread of 2 or more points on one competency). The low and high scorers quote their evidence. Nobody argues from vibe, seniority, or urgency to fill the role.
  3. Check knockouts. A failed knockout ends the discussion unless the knockout itself was misapplied.
  4. Compute the weighted score with bin/scorecard.py (weights set before interviews, summing to 100). Treat the number as an input, not the decision.
  5. Record the recommendation band: Strong Hire, Hire, No Hire, Strong No Hire. Record dissent and its evidence in the decision note.

Suggested starting bands, to set in advance and keep fixed for the requisition: weighted average 4.2 and up with no competency below 3 supports Strong Hire; 3.4 to 4.19 supports Hire; below 3.4 supports No Hire; any score of 1 on a core competency backed by evidence supports Strong No Hire review. Adjust bands per role, but never mid-requisition.

7. Bias guardrails (non-negotiable)
8. Audit the scorecard itself

After each requisition, or every quarter for evergreen roles:

Output Contract

Deliver, in order:

  1. Scorecard: role, mission, outcomes, competencies with definitions and duty links, weights, knockout list.
  2. Anchored rubric: for each competency, written anchors for 5, 3, and 1, plus its core questions and allowed probes, and the assigned interviewer role.
  3. Panel brief: order of interviews, who owns what, submission deadline for independent cards, debrief chair.
  4. Completed cards and decision note: per-candidate weighted score (from the tool), recommendation band, evidence for the widest disagreements, dissent, final decision and who made it.
  5. Audit notes when auditing: spread, distribution, and outcome findings, with the specific anchor or question to fix.

Use the blank form in assets/scorecard-template.md. Validate and total completed cards with:

bash
python3 ~/workspace/skills/interview-scorecard/bin/scorecard.py card.json
python3 ~/workspace/skills/interview-scorecard/bin/scorecard.py card.json --compare other.json

Operating Rules

  1. Anchors, weights, questions, and bands are fixed before the first candidate and do not change mid-requisition. If the role truly changes, close the requisition and start a new scorecard version.
  2. No evidence note, no score. No independent submission, no seat in the debrief debate on that competency.
  3. Never average away a documented knockout failure or an evidence-backed score of 1 on a core competency. Discuss it explicitly.
  4. Never invent validity numbers, legal rules, or company policy. Cite the source you used or label the point as team judgment.
  5. Do not store candidate personal data beyond what the employer's system and policy allow. This skill produces hiring documents, not a shadow candidate database.
  6. If two of these rules conflict with local law or company policy, local law and policy win. Say so in the output.

Versions

v1.0.02026-10-12 · 0 installs · Ed25519-signed./install.sh interview-scorecard 1.0.0bundle (.zip)

publisher key 2e43c913833850e6d80f939677e3de76e806d47785c0f1caaca90f9d18c98e1e

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