ChatGPT Job Interview Preparation Coach Prompt
You are a senior interview coach who has helped candidates land offers at Google, McKinsey, and top-tier companies.
Category
🎯 Career
Difficulty
Intermediate
Models
3
Last Updated
2026-06-28
Works with
📄 Example output
⚠️ Common Mistakes
❓ FAQ
⚙️ Fill in your variables
📋 Prompt
You are a senior interview coach who has helped candidates land offers at Google, McKinsey, and top-tier companies.
Job role: [job role]
Company: [company name]
Your background: [your background]
Interview type: [interview type — behavioural/technical/case study/panel/all-day]
Task: Provide complete interview preparation:
1. COMPANY RESEARCH BRIEF:
- What interviewers typically ask at [company name]
- Company values and how to align your answers
- Recent news/initiatives to reference naturally
2. TOP 10 LIKELY QUESTIONS with model answers using STAR format:
- 3 core behavioural ('Tell me about a time...')
- 3 role-specific technical or situational
- 2 motivation questions ('Why this role/company?')
- 2 curveball questions
3. YOUR STORY: 60-second professional narrative
4. QUESTIONS TO ASK: 5 thoughtful questions that show you've done your homework
5. COMMON MISTAKES: 5 mistakes candidates make at [company] and how to avoid them
Format: Each answer in STAR format: Situation → Task → Action → Result.
Job role: [job role]
Company: [company name]
Your background: [your background]
Interview type: [interview type — behavioural/technical/case study/panel/all-day]
Task: Provide complete interview preparation:
1. COMPANY RESEARCH BRIEF:
- What interviewers typically ask at [company name]
- Company values and how to align your answers
- Recent news/initiatives to reference naturally
2. TOP 10 LIKELY QUESTIONS with model answers using STAR format:
- 3 core behavioural ('Tell me about a time...')
- 3 role-specific technical or situational
- 2 motivation questions ('Why this role/company?')
- 2 curveball questions
3. YOUR STORY: 60-second professional narrative
4. QUESTIONS TO ASK: 5 thoughtful questions that show you've done your homework
5. COMMON MISTAKES: 5 mistakes candidates make at [company] and how to avoid them
Format: Each answer in STAR format: Situation → Task → Action → Result.
INTERVIEW PREP: Product Manager at Google
Candidate Background: 5 years PM experience at B2B SaaS companies
═══ GOOGLE INTERVIEW CONTEXT ═══
Google PM interviews are structured around four areas: (1) Product Design, (2) Strategy/GTM, (3) Analytical (metrics), (4) Behavioural. Each interview is typically 45 minutes with one interviewer per area.
Google PMs are evaluated against: User empathy, technical depth (you work with engineers, not just PMs), structured thinking, and data fluency. Answers should always tie back to impact on users and business metrics.
═══ QUESTION 1: 'Design a product for [group]' (Product Design)
MODEL FRAMEWORK:
S: Clarify scope and constraints (5 min)
T: Define the target user and their pain points
A: Brainstorm solutions, prioritise with framework (RICE/Impact-Effort), design the solution
R: Define success metrics and measurement plan
EXAMPLE ANSWER STRUCTURE:
'I'd approach this by first clarifying a few things... [2–3 clarifying questions]. Assuming [X], I'd focus on [user segment] because [reasoning]. Their biggest pain points are [list]. Of these, I'd prioritise [specific pain] because [data/reasoning]. The solution I'd build is [feature], which addresses [pain] by [mechanism]. I'd measure success using [primary metric] as the North Star, with [secondary metrics] as leading indicators.'
[Continue for all 10 questions...]
Candidate Background: 5 years PM experience at B2B SaaS companies
═══ GOOGLE INTERVIEW CONTEXT ═══
Google PM interviews are structured around four areas: (1) Product Design, (2) Strategy/GTM, (3) Analytical (metrics), (4) Behavioural. Each interview is typically 45 minutes with one interviewer per area.
Google PMs are evaluated against: User empathy, technical depth (you work with engineers, not just PMs), structured thinking, and data fluency. Answers should always tie back to impact on users and business metrics.
═══ QUESTION 1: 'Design a product for [group]' (Product Design)
MODEL FRAMEWORK:
S: Clarify scope and constraints (5 min)
T: Define the target user and their pain points
A: Brainstorm solutions, prioritise with framework (RICE/Impact-Effort), design the solution
R: Define success metrics and measurement plan
EXAMPLE ANSWER STRUCTURE:
'I'd approach this by first clarifying a few things... [2–3 clarifying questions]. Assuming [X], I'd focus on [user segment] because [reasoning]. Their biggest pain points are [list]. Of these, I'd prioritise [specific pain] because [data/reasoning]. The solution I'd build is [feature], which addresses [pain] by [mechanism]. I'd measure success using [primary metric] as the North Star, with [secondary metrics] as leading indicators.'
[Continue for all 10 questions...]
🏆
💡 Pro Tips
Best model for this prompt
ChatGPT
ChatGPT (GPT-4o / GPT-5)
Practice your answers out loud — people who practise silently often freeze during the actual interview because they've never heard themselves say the words
Use the same story for multiple questions — you only need 8–10 strong STAR stories to answer almost any behavioural question
'Why this company?' should reference something specific and recent — mention a product decision, a piece of engineering culture, or a business direction, not just 'you're the best'
Have a drink of water in front of you — it gives you 2 seconds to think before answering without looking nervous
Giving answers without outcomes — 'I led the project' without 'and the result was X' leaves the interviewer guessing
Criticising previous employers — even when probed, keep it professional; interviewers notice candidates who blame others
Underselling yourself — many candidates from non-Western backgrounds downplay achievements; say 'I' not 'we' when you specifically did something
Not asking questions — 'No I think we covered everything' is one of the most damaging things you can say; it signals low curiosity
- How many practice runs do I need?For a first-round interview, 2–3 practice sessions covering your top answers is sufficient. For a final round or Dream Job interview, mock sessions with a real person for 3–5 sessions dramatically increases success rates.
- Should I memorise my answers?Memorise your STAR structure (situation, context, the challenge, your specific actions, the result) — not word-for-word. Memorised answers sound scripted; structured answers sound prepared and confident.
- Can I bring notes into an interview?For in-person interviews: it's acceptable and professional to bring a notepad with your questions to ask and brief notes about the company. For video interviews: having notes visible on screen is generally fine.
- Which AI model is best for interview prep?ChatGPT is strong for generating question banks and company-specific research. Claude is better for crafting nuanced, natural-sounding STAR answers and role-playing the interviewer in practice sessions.