Can I customise interview questions in an AI interview platform?
Have you ever wondered if you can truly customise interview questions in an AI interview platform? As more companies use AI to make hiring smarter and faster, it’s important to know how much control you retain over the interview process. According to a 2025 report, 87% of companies worldwide are now using AI in their recruitment process. This article will explain whether and how you can customise questions in these systems, explore the benefits of doing so, and show how it improves hiring accur
Have you ever wondered if you can truly customise interview questions in an AI interview platform? As more companies use AI to make hiring smarter and faster, it’s important to know how much control you retain over the interview process. According to a 2025 report, 87% of companies worldwide are now using AI in their recruitment process.
This article will explain whether and how you can customise questions in these systems, explore the benefits of doing so, and show how it improves hiring accuracy and candidate experience. By the end, you'll understand how to tailor AI interviews to your needs and use them effectively. So go ahead, read on to discover how smart, customisable AI tools can enhance your hiring strategy!
Can You Customise Interview Questions in an AI Interview Platform?
Yes, most AI interviewers allow you to customise interview questions. In fact, this flexibility is one of the main reasons companies adopt these tools. Instead of relying only on generic, pre-loaded questions, you can design questions that reflect the specific role, skills, and values you’re hiring for.
For example, if you’re recruiting a software developer, you might add coding or problem-solving scenarios. If you’re hiring for a customer service role, you could include questions about handling tough client situations. Many platforms also let you choose from templates, edit existing questions, or create new ones from scratch.
This means recruiters keep full control over the process while still enjoying the speed and efficiency of AI. It’s the best of both worlds, technology handling the heavy lifting, while you guide the focus of the interview.
Why Customisation Matters in AI Interviews
Customisation in AI interviews matters because no two jobs or companies are the same. Every role requires different skills, and a “one-size-fits-all” interview rarely gives the right results. By tailoring questions, you make sure candidates are tested on what truly matters for the job.
It also helps with culture fit. For example, if your company values teamwork, you can add questions that reveal how a candidate works with others. This ensures you’re not only hiring for skills but also for alignment with your company values, while supporting fairer evaluation and reducing hiring bias.
Another key reason is candidate experience. When candidates face questions that feel relevant and specific, they engage more and leave with a positive impression of your brand.
In short, customisation leads to better hiring accuracy, stronger culture alignment, and improved candidate satisfaction, all of which make a real difference in building great teams.
How AI Interview Platforms Allow Customisation
AI interview platforms are designed to give recruiters flexibility while still automating most of the process. They usually offer multiple ways to customise questions, depending on the role and hiring goals.
- Pre-Built Templates: Many platforms provide ready-made sets of questions for common roles, which you can edit to match your needs.
- Question Builder: You can create your own questions from scratch, whether they’re technical, behavioral, or situational.
- Skill Tagging: Platforms often let you assign skills (like leadership, coding, or communication) to each question so the AI evaluates answers against the right criteria.
- Adaptive Logic: Some advanced tools can adjust follow-up questions based on a candidate’s previous answer, creating a more natural flow.
These features ensure recruiters keep control while the AI takes care of consistency, speed, and fair evaluation, helping teams hire faster without losing quality.
Best Practices for Creating Custom Questions
Creating effective custom questions in an AI interview platform isn’t just about asking whatever comes to mind, it’s about making sure every question serves a clear purpose and brings out meaningful insights. Here are some best practices to keep in mind:
1. Align with Job Requirements
Start with the job description. Identify the key skills, responsibilities, and qualities needed for the role, then turn them into direct questions. For example, if a role requires project management, ask: “How would you handle a project with conflicting deadlines?” This ensures every response connects back to the skills you’re actually hiring for.
2. Balance Question Types
A strong interview should mix different question styles:
- Behavioral (“Tell me about a time you solved a problem under pressure”)
- Situational (“How would you handle a client who is unhappy with the service?”)
- Technical (role-specific challenges or tasks)
This blend gives a complete picture of a candidate’s abilities.
3. Keep It Clear and Concise
Overly complicated or multi-part questions can confuse candidates and make answers harder to evaluate. Instead of asking: “Explain how you would lead a team, handle conflicts, and ensure delivery timelines,” break it into separate, focused questions. Clear questions lead to clear answers.
4. Test Before Scaling
Before rolling your custom questions out to hundreds of candidates, test them with a few people, either internal employees or a pilot group of applicants. This helps you spot unclear wording, overly difficult questions, or gaps in your evaluation process.
5. Update Regularly
Roles evolve, and so should your interview questions. A question that worked two years ago may not reflect today’s skills. For example, marketing roles now require knowledge of AI-driven tools that weren’t relevant before. Make it a habit to review and refresh your question bank.
6 Common Mistakes to Avoid When Customising AI Interview Questions
Even though customising interview questions in an AI platform is a powerful feature, it can backfire if not done thoughtfully. Here are the most common mistakes recruiters make, and how to avoid them:
1. Asking Overly Broad or Vague Questions
Questions like “Tell me about yourself” or “What are your strengths?” may seem useful but often lead to generic answers. In an AI interview setting, broad responses are harder for the system to evaluate fairly. Instead, frame questions around specific scenarios, such as “Tell me about a time you handled a tight deadline.”
2. Overloading with Technical Jargon
Recruiters sometimes add too many buzzwords or highly complex terms to test knowledge. This risks alienating candidates who have the right skills but may phrase their answers differently. For example, a question like “Explain polymorphic behavior in OOP with covariance and contravariance” could be simplified to “Can you explain polymorphism in object-oriented programming with an example?”
3. Forgetting Soft Skills
AI interviews often focus on measurable, hard skills, but roles usually require strong interpersonal abilities too. For example, a customer support role should include questions about empathy or conflict resolution, not just process knowledge. Skipping soft skills can lead to technically strong but culturally misaligned hires.
4. Relying on Outdated Questions
The job market evolves fast. A digital marketing interview that still asks only about SEO keyword stuffing is outdated. Custom questions must reflect current trends and technologies, otherwise candidates won’t be evaluated on skills that matter today.
5. Creating Bias Unintentionally
Customisation should improve fairness, but it can accidentally introduce bias. For instance, asking culturally specific references (“Describe your favorite baseball coach’s leadership style”) could disadvantage international candidates. Instead, frame questions in a neutral way so all candidates can answer meaningfully.
6. Asking Too Many Questions at Once
Over-customisation can overwhelm candidates. A 60-minute AI interview packed with lengthy situational questions often leads to fatigue and lower engagement. Keep the balance, ask fewer, well-structured questions that give quality insights rather than quantity.
Conclusion
Customising interview questions in an AI interview platform isn’t just possible—it’s one of the biggest advantages these tools offer. By tailoring questions to match specific job roles, company values, and evolving skill requirements, recruiters can make interviews more relevant, fair, and engaging. It ensures candidates are evaluated on what truly matters, while AI takes care of consistency, efficiency, and scalability.
However, success depends on how thoughtfully you design and update your custom questions. Avoiding vague or biased prompts, balancing technical and soft skill assessments, and regularly refreshing your question bank can make all the difference in hiring the right talent.
Yes, you can customise interview questions in AI platforms. Doing so makes hiring faster, fairer, and more accurate, helping companies build stronger teams.
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Frequently Asked Questions?
- Can AI create interview questions?
Yes, AI can generate interview questions by analyzing job descriptions, role requirements, and skills needed. Many AI interview platforms provide auto-generated, role-specific questions that recruiters can edit or customise, saving time while ensuring interviews remain relevant and consistent.
Can I customize the interview questions for each interview?
Yes! On platforms like Hirevox, you can request specific questions tailored to your brand or have experts craft the best ones for each role.
Can I fully customise both the questions and the information captured?
Absolutely. Some platforms allow full customization of both interview questions and summary details, including ATS mapping, role-specific elements, and company criteria.
Are there templates available, and can I still make my own?
Yes. Certain systems offer templates for various job roles, but you also have the option to create completely custom interviews under features like “Add Questions.”
How does AI ensure questions match industry-specific needs?
Platforms like Hirevox allow you to input the job description, enabling the AI to tailor interview content to your industry, ensuring relevance and role fit.