Common interview questions to practice
Almost every interview includes some version of these: "Tell me about yourself", "Why do you want this role?", "Tell me about a time you failed", "Describe a conflict with a colleague", "What is your greatest strength and weakness?" and "Do you have any questions for us?" Add role-specific questions: case questions for consulting, system design for engineering, prioritization for product roles.
Practice these out loud or in writing with the AI until each answer has a clear point and a concrete example. Aim for about one to two minutes per answer.
Do not forget the questions you ask at the end. Prepare two or three that show you understand the role, such as "What would success look like in the first 90 days?" or "What is the biggest challenge the team faces this year?" Practice them with the AI too, and listen to how the interviewer answers.
The STAR method in 60 seconds
STAR is the standard structure for behavioral questions. Situation: one or two sentences of context. Task: what you were responsible for. Action: what you did, using "I" rather than "we". Result: the measurable outcome and what you learned.
The most common mistake is spending too long on the situation and too little on action and result. Aim for roughly 20 percent setup, 60 percent action and 20 percent result. Always include a number if you can: revenue, time saved, users, error rate.
How to use the AI feedback
After a round, ask the interviewer to step out of role and score each answer on structure, specificity and relevance to the job description. Ask what a strong candidate would have said differently. Then rerun only the two weakest questions, since focused repetition improves answers faster than a full new interview.
Before the real interview, do one session at stress level: ask the AI to interrupt, challenge your numbers and push on gaps in your resume. If you stay calm there, the real interview will feel easier.