AI Interview Question Generator: End of Improvised Interviews

The hiring manager has a candidate interview on Monday morning. There’s no time to prepare properly — they ask generic questions and forget to probe key skills. The candidate senses it — even a strong candidate leaves without a convincing impression on either side.

What AI Generates for You

AI Inputs

• Role description (job description) — from Modulario ATS or entered manually
• Candidate’s CV — uploaded in the system
• Company cultural values (optional) — defined once in HR settings

Generated Interview Guide

Interview: Jana Nováková — Senior Data Scientist
Prepared: 02 May 2026 | Interviewer: Thomas Blaho

TECHNICAL QUESTIONS (must-have verification):
  1. Describe the architecture of the last ML pipeline
     you deployed to production.
     What was the traffic volume and how did you handle latency?
  2. How do you distinguish between underfitting and overfitting
     in practice? Give a concrete example from your work.

BEHAVIOURAL QUESTIONS (STAR format):
  3. Your CV shows a "churn prediction" project in banking.
     What was the main challenge and how did you solve it?
  4. Tell me about a time your model performed differently
     in production than in the test environment. How did you respond?

SITUATIONAL QUESTIONS:
  5. A stakeholder wants ML model results in 2 weeks.
     Realistically it takes 6 weeks. How do you communicate this?

CULTURAL / MOTIVATIONAL:
  6. Why are you leaving Fintech XY after 3 years?
  7. What specifically attracted you to this role?

POST-INTERVIEW SCORING: [1–5 per question]

Structured Scoring

After the interview the interviewer fills in a score for each question (1–5). AI calculates the overall score and prepares a summary for the hiring decision. With multiple interviewers, HR sees the overall consensus.