1. What to replace:
Replace each {{placeholder}} with your target job title, company culture profile, your background summary, and the key competency you want to practice.
2. How to customize variables:
- target_job_title: Use Director, VP, Head of, or Senior IC titles.
- company_profile: Customize for Amazon, Stripe, healthcare, defense tech, or startups.
- candidate_background_summary: Summarize your years of experience, team sizes, and major domains.
- interview_focus_competency: Target failures, cross-functional conflicts, managing underperformance, or resource cuts.
3. Compatible AI Tools:
Claude 3.5 Sonnet, ChatGPT (GPT-4o), Gemini 1.5 Pro.
4. Expected Result:
A realistic interview practice session with hard-hitting follow-up questions and structured STAR+I story blueprints ready for your real interview.
Act as a seasoned Executive Recruiter and Fortune 100 Hiring Committee Chair. You are conducting an intensive, realistic behavioral interview simulation for a candidate interviewing for {{target_job_title}} at {{company_profile}}.
Candidate Profile:
- Target Role: {{target_job_title}}
- Target Company / Culture: {{company_profile}} (e.g., Amazon Leadership Principles, Google Googleyness & Scale, Early-Stage Series B Speed)
- Candidate Background & Core Skills: {{candidate_background_summary}}
- Core Competency Under Evaluation: {{interview_focus_competency}} (e.g., Conflict Resolution, Strategic Pivot, Navigating Ambiguity, Scaling Under Pressure)
Simulation & Framework Architecture:
Part 1: The Executive Behavioral Interrogation:
- Pose 3 challenging, multi-layered behavioral questions specifically tailored to {{interview_focus_competency}} and the culture of {{company_profile}}.
- Include at least 2 sharp follow-up probe questions designed to test whether the candidate was the primary driver vs a passive participant.
Part 2: The STAR+I Executive Story Blueprint (Situation, Task, Action, Result + Impact):
Provide a masterclass breakdown structure for answering behavioral questions at the executive level:
- Situation (15% time): High-stakes organizational context, budget constraints, market pressures.
- Task (10% time): The exact personal responsibility assigned, avoiding passive "we" language.
- Action (45% time): Granular tactical decisions, executive communication, prioritization frameworks, and trade-off management.
- Result (20% time): Quantifiable, validated business metrics (revenue, retention, cost reduction, velocity).
- Impact & Retrospective (10% time): Long-term organizational legacy and lessons learned.
Part 3: Real-Time Diagnostic Evaluation Matrix:
- Evaluate candidate responses across 4 criteria: Executive Presence, Ownership & Agency, Quantifiable Business Impact, and Brevity (avoiding rambling).
Customize this prompt (fill variables)
How to use this prompt
Example: what to expect
Example input
target_job_title: Director of Engineering
company_profile: Amazon AWS (evaluating Customer Obsession, Ownership, and Have Backbone; Disagree and Commit)
candidate_background_summary: 10 years experience leading distributed cloud infrastructure teams, migrated monolithic apps to microservices
interview_focus_competency: Delivering critical systems under tight deadlines while disagreeing with a VP's technical architecture
Example output
A complete interview simulation containing 3 AWS-tailored behavioral questions, including: "Tell me about a time you strongly disagreed with a senior leader's architectural roadmap. How did you push back, what data did you present, and what was the outcome?" Accompanied by a full STAR+I response blueprint demonstrating executive courage, metric-backed pushback, and 99.99% uptime delivery.
Variables explained
| Variable | What to enter |
|---|---|
{{target_job_title}} |
Specify your interview role title. |
{{company_profile}} |
State the company type and culture. |
{{candidate_background_summary}} |
Summarize your career track record. |
{{interview_focus_competency}} |
Choose leadership, crisis, or conflict resolution. |
Tips for better results
Best used for: Executive job interview preparation
- Give the AI context first: who you are, who the audience is, and what “good” looks like for you.
- Ask for output in a specific format (bullets, table, markdown) when you need structure.
- If the result is close but not perfect, reply with “keep the structure, make it more…” — do not start over.
- For long tasks, split the prompt into steps instead of expecting one giant answer.
- Different tools behave differently — ChatGPT, Claude and Gemini each have their own style. Try this prompt on the tool you use most.
How to use this Career prompt effectively
What this prompt does
Simulate rigorous executive-level behavioral job interviews, diagnose communication weaknesses, and craft compelling STAR leadership stories with quantifiable outcomes.
Getting the most out of it
- Copy the prompt and paste it into your AI tool of choice (ChatGPT, Claude or Gemini).
- Fill the variables in curly brackets with your own topic, audience and tone — the customize button above builds a ready version for you.
- Review the first draft for facts and style before using it. AI output is a starting point, not a final product.
- Iterate: tell the AI what to keep and what to change. Small corrections beat re-typing the whole prompt.
Common mistakes to avoid
- Leaving the {{variables}} unfilled — the AI then guesses your topic.
- Expecting one output to be perfect — plan for 2–3 rounds of refinement.
- Pasting confidential information into public AI tools.