general user hr template risk: low
Mock Job Interview Simulator and Analyzer
The prompt directs the model to simulate a job interview for a specified role by asking 8–10 mixed-type questions one at a time with brief reactions after each answer, then upon 'A…
PROMPT
${job_title} at [COMPANY TYPE/NAME].
**Rules:**
- Ask ONE question at a time. Wait for my answer before continuing.
- Mix question types: behavioral (STAR), technical, situational, and curveball questions.
- Keep your tone professional but human — not robotic.
- After I answer each question, give a brief 1-line reaction (like a real interviewer would — neutral, curious, or follow-up) before moving to the next question.
- Do NOT give feedback mid-interview. Save all evaluations for the end.
- After 8–10 questions, end the interview naturally and tell me: "We'll be in touch. Type ANALYZE when you're ready for feedback."
**Context about me:**
- Role I'm applying for: ${job_title}
- My background: [BRIEF BIO / EXPERIENCE LEVEL]
- Interview type: [e.g., HR screening / Technical / C-level / panel]
- Language: [English / Indonesian / Bilingual]
After The mock interview above is complete. Analyze my full performance based on everything in this conversation.
Score me across 6 dimensions (each X/10 with reasoning):
1. Content Quality — specific, relevant, STAR-structured answers?
2. Communication — clear, confident, no rambling?
3. Self-Positioning — did I sell myself well?
4. Handling Tough Questions — composure under pressure?
5. Engagement & Impression — did I sound genuinely interested?
6. Role Fit Signals — do my answers match what this role needs?
Then give me:
- Top 3 strengths (cite specific moments)
- Top 3 critical improvements (what I said vs. what I should have said)
- One full answer rewrite — pick my weakest answer and show me the 10/10 version
- Final verdict: would a real interviewer move me forward? Be direct. INPUTS
- job_title REQUIRED
-
The job title the user is applying for
e.g. Software Engineer
- company_type_name REQUIRED
-
Company type or name
e.g. Google
- brief_bio_experience_level REQUIRED
-
Candidate's brief bio or experience level
e.g. 5 years in software development
- interview_type REQUIRED
-
Type of interview
e.g. Technical
- language REQUIRED
-
Interview language
e.g. English
REQUIRED CONTEXT
- full conversation transcript for analysis
ROLES & RULES
Role assignments
- ${job_title} at [COMPANY TYPE/NAME].
- Ask ONE question at a time. Wait for my answer before continuing.
- Mix question types: behavioral (STAR), technical, situational, and curveball questions.
- Keep your tone professional but human — not robotic.
- After I answer each question, give a brief 1-line reaction (like a real interviewer would — neutral, curious, or follow-up) before moving to the next question.
- Do NOT give feedback mid-interview. Save all evaluations for the end.
- After 8–10 questions, end the interview naturally and tell me: "We'll be in touch. Type ANALYZE when you're ready for feedback."
EXPECTED OUTPUT
- Format
- markdown
- Schema
- markdown_sections · Content Quality, Communication, Self-Positioning, Handling Tough Questions, Engagement & Impression, Role Fit Signals, Top 3 strengths, Top 3 critical improvements, One full answer rewrite, Final verdict
- Constraints
-
- ask one question at a time
- brief 1-line reaction after each answer
- no mid-interview feedback
- after 8-10 questions end and prompt for ANALYZE
- score 6 dimensions X/10 with reasoning
- top 3 strengths citing moments
- top 3 improvements with what said vs should
- one full answer rewrite of weakest
- final verdict direct
SUCCESS CRITERIA
- Simulate a realistic mock interview with 8-10 varied questions
- Provide brief reactions after each answer
- Analyze performance across 6 scored dimensions with reasoning
- List top 3 strengths citing specific moments
- List top 3 critical improvements with examples of what was said vs. ideal
- Rewrite one weak answer to 10/10 version
- Give direct final verdict on advancing
FAILURE MODES
- Asking multiple questions without waiting
- Providing mid-interview feedback
- Using robotic tone
- Ending interview prematurely or abruptly
- Analysis not based on full conversation
- Failing to cite specific moments in feedback
- Vague scores without reasoning
CAVEATS
- Dependencies
-
- ${job_title}
- Context about me: role, background, interview type, language
- Full conversation history including all interview responses for analysis
- Missing context
-
- Specific values for placeholders like ${job_title}, [COMPANY TYPE/NAME], [BRIEF BIO / EXPERIENCE LEVEL], [Interview type], [Language]
QUALITY
- OVERALL
- 0.90
- CLARITY
- 0.90
- SPECIFICITY
- 0.90
- REUSABILITY
- 0.95
- COMPLETENESS
- 0.90
IMPROVEMENT SUGGESTIONS
- Standardize placeholder format (e.g., all ${var} or all [VAR]) for consistency.
- Fix minor phrasing issues like 'After The mock interview above is complete' to 'After the mock interview is complete.'
- Add instruction to maintain conversation history for accurate analysis.
USAGE
Copy the prompt above and paste it into your AI of choice — Claude, ChatGPT, Gemini, or anywhere else you're working. Replace any placeholder sections with your own context, then ask for the output.
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