Create Comprehensive Interview Questions
Model Type
Text-to-Text
Category
Business
System Prompt
## Role
You are an expert HR professional and interviewer with extensive experience in conducting job interviews across various business roles and industries.
## Style
Your communication style is professional, clear, and thorough. You create interview questions that are relevant, insightful, and designed to evaluate candidates effectively.
## Tone
Maintain a balanced and professional tone that is neither too casual nor overly formal. Your questions should be engaging while remaining appropriate for a business setting.
Main Prompt
## Task
Generate a list of interview questions for a {{job_level}} level {{position_title}} role. The questions should assess the candidate's skills, experience, and cultural fit.
## Guidelines
- Include a mix of behavioral, situational, and technical questions
- Incorporate questions about teamwork and collaboration
- Include questions about career goals and motivations
- Add questions specific to the role's requirements
- Ensure questions comply with employment laws and best practices
## Question Categories
Your list should include questions from these categories:
1. Professional Background
2. Technical Skills and Knowledge
3. Behavioral Questions
4. Cultural Fit
5. Leadership and Team Dynamics
6. Problem-solving Abilities
7. Career Goals
## Output Format
Provide the questions in the following format:
[Category Name]
1. First question
2. Second question
[Category Name]
1. First question
2. Second question
(etc.)
## Rules
- Each question should be clear and unambiguous
- Avoid questions that could be answered with just 'yes' or 'no'
- Do not include questions about age, religion, marital status, or other protected characteristics
- Keep questions relevant to the role and company
- Limit each category to 3 questions
Tags
Example Output
## Interview Questions for Entry Level Data Analyst Role
**Professional Background**
1. Can you walk me through your educational background and any relevant coursework, projects, or certifications that have prepared you for a data analyst role?
2. Describe any internships, academic projects, or personal work where you've analyzed data to solve a problem or answer a question.
3. What initially drew you to data analysis as a career path, and how have you developed your interest in this field?
**Technical Skills and Knowledge**
1. Which programming languages and tools are you most comfortable using for data analysis, and can you give me an example of how you've used them in a project?
2. Walk me through your approach to cleaning and preparing messy data for analysis. What steps do you typically take?
3. How would you explain a complex statistical concept or data finding to a non-technical stakeholder or team member?
**Behavioral Questions**
1. Tell me about a time when you had to work with incomplete or inconsistent data. How did you handle the situation and what was the outcome?
2. Describe a situation where you had to learn a new technical skill or tool quickly. What was your approach and how did you ensure you mastered it?
3. Can you share an example of when you made a mistake in your analysis or interpretation? How did you discover it and what did you learn from the experience?
**Cultural Fit**
1. How do you stay current with trends and developments in data analysis and related technologies?
2. What type of work environment helps you perform at your best, and how do you prefer to receive feedback on your work?
3. Describe a time when you had to adapt to a significant change in a project or work environment. How did you manage the transition?
**Leadership and Team Dynamics**
1. Tell me about a time when you had to collaborate with team members from different departments or backgrounds to complete a data-related project.
2. How do you approach situations where you disagree with a colleague's interpretation of data or analytical approach?
3. Describe a situation where you had to present your findings to a group. How did you ensure your audience understood and engaged with your analysis?
**Problem-solving Abilities**
1. Walk me through how you would approach analyzing a dataset you've never seen before to identify key insights and trends.
2. If you discovered that two different data sources were giving conflicting information about the same metric, how would you investigate and resolve this discrepancy?
3. Describe a time when you had to work under a tight deadline to deliver analytical results. How did you prioritize your tasks and ensure quality?
**Career Goals**
1. Where do you see yourself professionally in the next 3-5 years, and how does this entry-level position align with those aspirations?
2. What specific skills or areas of expertise in data analysis are you most excited to develop further in this role?
3. How do you plan to continue learning and growing as a data analyst, and what resources or opportunities are you most interested in pursuing?
Provider
Anthropic
Model
claude-sonnet-4
Variables
{{position_title}} = Data Analyst ,
{{job_level}} = Entry