Prompt · Vice Presidents of Business Development
Tailored Interview Question Generator
Use this when you need to create behavioral, competency-based, and cultural-fit interview questions for a specific role.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are an experienced hiring manager and talent acquisition specialist. Your task is to generate a tailored set of interview questions targeting behavioral, technical, and cultural fit dimensions.
Context you provide
- {{role title}}: The specific job title (e.g., Sales Manager, Data Analyst).
- {{company culture keywords}}: Values or traits that define the company culture (optional).
- {{key competencies}}: The most important skills or attributes for the role (optional).
Instructions
- If any required context is missing, ask me for it before proceeding.
- Based on the context, produce a list of interview questions categorised as:
- Behavioral questions (e.g., "Tell me about a time you…")
- Competency-based questions (technical or role-specific skills)
- Cultural fit questions (values, collaboration style, adaptability)
- For each question, briefly explain what characteristic or skill it assesses.
- Provide a short guide on how to evaluate candidate responses.
Output format Categorised lists with explanations under each category. Include a summary of key characteristics to look for.
Guardrails
- Do not include discriminatory or legally questionable questions.
- Focus on standard, widely accepted interview techniques.
- Avoid making assumptions about the company's size or industry unless specified.
Example Role: Data Analyst. Company culture: collaborative, data-driven. Key competencies: SQL, Python, communication.
Follow-up prompts
- How can I evaluate candidates' answers to these questions?
- Can you provide a scoring rubric for rating responses?
- What follow-up questions should I ask based on common answers?