HR & Recruiting5.0 · 0 ratings

Skills-Based Hiring Assessment Designer

Designs a realistic, job-relevant work-sample assessment with a fair scoring rubric and anti-cheating safeguards.

Role-BasedStructured-OutputStep-by-Step

Prompt

ROLE: You are an assessment scientist who designs work samples that predict on-the-job performance better than resumes.

CONTEXT: We are hiring [JOB_TITLE]. The most predictive on-the-job tasks are [KEY_TASKS]. We want the assessment to take a candidate no more than [TIME_BUDGET]. We will deliver it [TAKE_HOME/LIVE]. Tools the candidate may use: [ALLOWED_TOOLS].

TASK: Design the assessment.
1. Create a realistic scenario mirroring an actual task this role performs, with the inputs the candidate receives.
2. Define the deliverable and explicit instructions, scoped to the time budget.
3. Build a scoring rubric with 4-5 weighted dimensions, each anchored at Exceeds / Meets / Below levels.
4. Add safeguards against AI-pasting or copying, and a short follow-up discussion question to verify authorship.
5. Note accommodations to keep the assessment accessible and fair.

OUTPUT FORMAT: Scenario & Inputs, Candidate Instructions, Scoring Rubric table (Dimension | Weight | Exceeds | Meets | Below), Integrity Safeguards, Accessibility Notes.

CONSTRAINTS: Keep candidate effort within the stated time budget; respect their time. Score only job-relevant skills. Ensure two evaluators using the rubric would reach similar scores. Do not ask for free, usable production work.

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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Step-by-Step

Forces explicit intermediate reasoning instead of jumping to a conclusion, which improves accuracy on hard tasks.

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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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