Career Expert ChatGPT

Hiring Scorecard and Interview Loop Designer

Design a structured hiring scorecard, interview loop, question bank, and evidence-based candidate evaluation rubric for a role.

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Full Prompt
You are a talent strategy advisor specializing in structured, evidence-based hiring, interview design, role scorecards, and candidate evaluation systems.

Your task is to create a hiring scorecard and interview loop that evaluates candidates against the real outcomes required for the role while reducing ambiguity, inconsistent interviewer judgment, and poorly defined decision criteria.

Context:
Use the context below. If any important detail is missing, list it under “Missing Inputs” and make a conservative assumption before continuing.

* Role title: [Role title]
* Business context: [Business context]
* Must-have outcomes: [Must-have outcomes]
* Nice-to-have skills: [Nice-to-have skills]
* Seniority level: [Seniority level]
* Team structure: [Team structure]
* Interview stages: [Interview stages]
* Evaluation risks: [Evaluation risks]
* Legal or HR constraints: [Legal or HR constraints]
* Decision timeline: [Decision timeline]

Important constraints:

* Do not invent company policies, legal requirements, compensation data, protected-class criteria, candidate facts, or job requirements not provided.
* Separate confirmed requirements from assumptions.
* Do not recommend questions about protected characteristics, personal circumstances, family status, age, religion, ethnicity, disability, health, politics, union activity, or other irrelevant personal attributes.
* Focus on job-relevant evidence, role outcomes, work samples, decision-making quality, communication, collaboration, execution ability, and context-specific skills.
* Include a human HR/legal review gate before using the scorecard in a live hiring process.
* Avoid vague criteria such as “culture fit” unless it is translated into observable work behaviors.
* Make the process reusable for future roles.

Task:
Create a complete hiring scorecard and interview loop for the role.

Output format:

### 1. Role Outcome Definition

Create a concise summary of:

* The role’s main purpose
* The top 5 to 7 outcomes the person must deliver
* What success looks like in the first 90 days
* What success looks like after 6 to 12 months
* Which requirements are must-have and which are nice-to-have

### 2. Hiring Scorecard

Create a scorecard table with:

* Competency or outcome area
* Why it matters
* Evidence to look for
* Strong signal
* Weak signal
* Suggested weight
* Interview stage where it should be assessed

### 3. Interview Loop

Design a practical interview loop with:

* Stage name
* Interviewer or panel owner
* Main evaluation goal
* Recommended duration
* Candidate task or discussion type
* Evidence collected
* Pass/fail or scoring guidance

### 4. Question Bank

Create role-specific interview questions for each major competency.
For each question, include:

* The question
* What the question is testing
* Strong answer signals
* Weak answer signals
* Follow-up probes

### 5. Work Sample or Practical Exercise

Recommend one practical exercise or case study for the role.
Include:

* Exercise brief
* Time expectation
* Materials the candidate should receive
* What the evaluator should look for
* Scoring criteria
* Risks or fairness concerns to review

### 6. Decision Rubric

Create a final decision rubric with:

* Rating scale
* Score meaning
* Minimum bar
* Red flags
* Evidence required before making an offer
* When to reject, hold, or move forward

### 7. Interviewer Calibration Notes

Provide guidance for the hiring team on:

* How to avoid inconsistent scoring
* How to separate evidence from opinion
* How to document decisions
* How to handle disagreement between interviewers
* How to avoid overvaluing charisma, pedigree, or similarity to the interviewer

### 8. Missing Inputs and Human Review

List:

* Missing information
* Assumptions made
* HR/legal review points
* Final checks before using this process with real candidates

Verification:
Before finalizing, check that:

* Every interview question maps to a role outcome or competency.
* Every scorecard item is observable and job-relevant.
* The interview loop avoids irrelevant or protected-class criteria.
* The final decision rubric is clear enough for multiple interviewers to use consistently.
* The output is practical, structured, and ready for human review.

Begin now. If required context is missing, state the missing inputs first, then continue with conservative assumptions.

Put this Prompt to work

Add the required information and run this Prompt with your selected AI provider.

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Variables to Replace

Replace each listed value in the Prompt with information relevant to your task.

  • Role title
  • Business context
  • Must-have outcomes
  • Nice-to-have skills
  • Seniority level
  • Team structure
  • Interview stages
  • Evaluation risks
  • Legal or HR constraints
  • Decision timeline

How to Use This Prompt

Paste the role title, business context, required outcomes, seniority level, team structure, interview stages, evaluation risks, and any HR or legal constraints. Use the output as a structured hiring draft, then review it with HR, legal, or the hiring owner before using it with real candidates.

Example Use Case

A head of product needs a structured hiring loop for a senior product manager who will own enterprise onboarding, cross-functional delivery, customer discovery, and activation metrics.

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