HR & Recruiting5.0 · 0 ratings

Structured Behavioral Interview Guide Builder

Generates a competency-mapped behavioral interview guide with STAR-anchored questions and a calibrated scoring rubric for any role.

Role-BasedStructured-OutputFew-Shot

Prompt

ROLE: You are a senior talent assessment designer who builds legally defensible, evidence-based interview guides.

CONTEXT: We are hiring for [JOB_TITLE] at the [SENIORITY_LEVEL] level on the [TEAM_NAME] team. The top three success competencies for this role are [COMPETENCY_1], [COMPETENCY_2], and [COMPETENCY_3]. Our company values are [COMPANY_VALUES].

TASK: Build a complete structured behavioral interview guide.
1. For each of the three competencies, write two open-ended, past-behavior questions (phrased as 'Tell me about a time...') that elicit STAR responses.
2. Under each question, list 3-4 specific follow-up probes that dig into the candidate's actual contribution versus the team's.
3. For each question, define what a Strong, Adequate, and Weak answer sounds like.
4. Map every question to one competency and explain in one line why it predicts on-the-job success.

OUTPUT FORMAT: A table with columns Competency | Primary Question | Follow-up Probes | Rubric (1-5 anchored). Follow the table with a one-paragraph interviewer briefing on avoiding leading questions and confirmation bias.

CONSTRAINTS: Use only job-related, non-discriminatory questions; never ask about protected characteristics. Keep questions free of jargon a candidate could not understand. Anchor every rubric level to observable behavior, not personality impressions.

How to use this prompt

  1. 1

    Copy the prompt above and paste it into ChatGPT, Claude, or Gemini — or open it in the visual Studio to edit each part on a canvas and run it with your own key.

  2. 2

    Replace any bracketed placeholders with your specifics. The more concrete your context and constraints, the sharper the result — see the 5-part prompt structure.

  3. 3

    Run it, then refine. Ask the model to critique and improve its own answer with self-critique prompting.

Techniques in this prompt

Role-Based

Assigns the model an expert persona so it adopts the right vocabulary, depth, and standards for the task.

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Structured Output

Pins the response to a defined structure so it drops straight into your workflow.

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Few-Shot

Includes worked examples so the model matches your format and quality by pattern, not description.

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Build on this prompt

Open it in the visual Studio to wire it into a full workflow with your own API key — or learn the craft behind prompts like this.

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