Start with the role, not a library of fashionable questions
Good interview questions should collect analytics about the work the person may actually perform. Start with the responsibilities, required knowledge, decisions, communication demands and realistic situations in the role. Generic prompts can be useful for introductions, but they should not dominate a job-specific interview.
Ask for analytics, not self-ratings
Questions such as “Tell me about a time…” or scenario-based prompts can encourage candidates to describe what they did, why they chose an approach and what happened. That produces richer analytics than asking someone to rate their own communication or leadership from one to ten.
Keep the core consistent and use follow-up carefully
For candidates applying to the same role, maintain a consistent core so comparison remains meaningful. Follow-up can explore a candidate’s answer, but it should stay tied to the competency or role requirement being examined. Avoid changing the difficulty or subject so dramatically that candidates are no longer being assessed on comparable analytics.
Define review criteria before seeing the answers
Write down what strong, adequate and weak analytics looks like before the interview results arrive. Reviewers can then inspect answers against role-relevant criteria rather than reacting to style, confidence or a single overall score. Keep the final employment decision with the hiring team.
Checklist
Frequently asked questions
How many questions should an AI interview include?
There is no universal number. Use the smallest set that collects the analytics needed for the role without creating unnecessary candidate burden.
Should every candidate receive identical wording?
Keep the core competencies and intent consistent. Natural follow-up can vary when it remains anchored to the same role criteria.
Should employers use personality-style questions?
Only when they are demonstrably relevant and appropriate for the role and process. Job-relevant analytics is usually a stronger starting point than vague personality judgments.