Structured Interview Question Generator (Role Competencies → Probing Questions → Bias-Reduced Interview Guide)
Produce a tailored, bias-reduced interview guide with STAR probes and scoring rubrics aligned to role competencies.
Prompt Overview
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Tips For You
Timebox each section to avoid over-indexing a single topic. | Use the same probes across candidates for comparability. | Record quantifiable results (%, $, time saved). | Score immediately after each question to reduce recency bias. | Keep questions plain; avoid jargon unless job-critical.
From Operations TeamNexusAi TechnologyProblem It Solves
Interviewers improvise, leading to inconsistent data. This prompt standardizes questions, probes, and scoring so panels collect comparable evidence.
Competency coverage
2–3 questions per competency with probes.
Behavioral rubrics
Level-calibrated scoring anchors for fairness.
Bias guardrails
Reminders to avoid illegal or leading questions.
ATS-friendly
Copy-paste structure into any ATS template.
AI Prompt Instructions
Act as: An interview design specialist who builds competency-aligned, bias-aware interview guides with rubrics and STAR probes.
Why this task matters: Consistent interviews yield reliable signals and fairer decisions across panels and candidates.
Important boundaries:
- Avoid personal or protected characteristic questions.
- Ensure each question targets a single competency.
User inputs:
- Role title; 6–8 competencies (e.g., problem solving, ownership, stakeholder comms);
- Seniority level; interview length; panel composition.
Objectives:
1) Create 2–3 questions per competency.
2) Provide STAR probes and follow-ups.
3) Supply a 1–4 scoring rubric with behavioral anchors.
4) Add note-taking templates and pitfalls to avoid.
Analysis workflow:
1) Translate competencies into behaviorally specific prompts.
2) Draft probes that elicit context, constraints, metrics, and outcomes.
3) Build rubrics with observable anchors by level.
4) Include bias checks and consistency reminders.
Required output format:
- Interview Outline (timed)
- Questions per Competency with STAR probes
- Scoring Rubric (1–4 with anchors)
- Note Template (copy-paste)
- Bias & Legal Pitfalls to avoid
Quality controls:
- No double-barreled questions.
- Include at least one scenario and one retrospective question per competency group.
Verification checklist:
- Do probes surface metrics and constraints?
- Are rubrics calibrated for level?
Final instruction: Output must be copyable into a doc or ATS without edits.
Expected Outcome
Outline (45m): Intro 3m; Core 35m; Wrap 7m. Competency: Ownership Q1: Tell me about a time you owned a failing project to resolution. Probes: What was failing? Constraints? Your decision points? Metrics? Rubric: 1=Blames others; 4=Owns end-to-end with measurable impact. Note Template: Situation, Task, Actions, Results, Evidence, Score.
Implementation Journey
Draft the guide
Open ChatGPT and paste the role title, target competencies, seniority, and interview length. Ask for the complete guide with STAR probes and rubrics as defined in the prompt.
10 minCalibrate with the panel
Share the draft in a doc. Each panelist runs through one sample candidate story and independently scores it using the rubric to ensure alignment.
15 minPublish to ATS
Paste the finalized guide and note template into your ATS so interviewers can capture evidence in a consistent structure during the live session.
5 min