penguin tree ai
Interview Scoring Rubric
Interview Scoring Rubric
Regular price
$5.00 USD
Regular price
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$5.00 USD
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A hiring manager building a structured interview process who needs scoring definitions tight enough that every interviewer evaluates candidates the same way — eliminating gut-feel hiring and creating defensible, comparable data across candidates.
What you get:
- Role summary mapping 3–5 core competencies to specific interview stages
- 1–4 behavioral scoring scale with concrete observable anchors per score level
- Per-stage scorecard naming competencies, recommended questions, and scoring anchors
- Red flags and strong signals triggering automatic escalation or advancement
- Decision framework for aggregating scores, advancement thresholds, and split handling
- Removes vague rubric language that causes interviewer disagreement
- Ready to hand to first-time interviewers without calibration training
- Defensible scoring tied to 90-day success criteria, not gut feel
How it works:
Paste the prompt into ChatGPT, Claude, or any AI model. Answer five questions about role competencies, interview structure, success criteria, past mis-hires, and your hiring workflow. Get an 800–1,100 word interview scoring rubric document with role summary, behavioral anchors, per-stage scorecards, red flags, and decision framework.
Best used with:
Bundles or prompts related to recruiting operations and structured hiring.
