Master Interview Prep with AI Practice and Voice Feedback
Less than half of candidates prepare the answers to their job interviews.
That gap costs job offers.
AI interview practice can't really close the gap just yet, not only because context plays a big role in job interviews and specialized knowledge is still difficult to fully grasp correctly, but more and more companies are training their hiring managers to know how and when candidates are using AI. And as a hiring manager for over 14+ years, I can say you can tell when someone is not telling the truth. And when in doubt, we test. And this happened way before AI played such a big role in the dynamic.
I remember many years ago when I interviewed a candidate for a Paid Search role reporting into me. Absolutely impeccable delivery, brilliant on paper, plenty of examples with high success rate. But Paid Search execution was (and still is, but evolving quickly) and very rule and test based discipline. So I included a test for everyone - nothing major, "how many characters can you have in an ad's headline and description?", "write an ad with high engagement", "write an ad that will have high conversion".
No laptop, no phone, back then no AI.
To my absolute surprise, he failed. The answers were of someone that had never executed Paid Search in their career.
And I believe that you need to be very thoughtful about tests. I don't think every level or every discipline needs them. And certainly the questions need to be very specific and tied to the role. I was once tested on complex math problems (sentences, not excel, no formulas) using English math terminology that I never learned - I learned math in Spanish... I failed. Did that proof that I had not successfully managed $100M/year? No. Did that proof that I had not led global teams to drive over 20% in growth for Fortune 500? No.
Job interview questions, tests, etc. they need to be as thoughtful as the answers you provide. But please, I beg you, don't lie. It has been over 10 years and I still remember that candidate. You don't want to be remembered for lying - your industry and discipline are exceptionally small worlds, believe me.
But, I do recommend extensive practice and AI can be a very helpful tool when paired with personalized and specialized career guidance. With the right prompts, voice mode, and repeated rounds, an AI assistant can act like a candidate interviewer, a feedback coach, and a rehearsal partner. And checking in with your Career Coach to ensure what you are doing is right is a must. Combining the two, say start with a Coach first, get context, practice with AI and do another interview prep round with a Coach to confirm you are on the right track is, in my opinion, a powerful combination.
I recommend it before phone screens, virtual interviews, panel interviews, and final rounds. But always involve a Career Coach as otherwise it can cost you your interview process and some of you are going for OpenAI, Netflix, Google, Meta... you want to derisk those opportunities as much as possible.
AI practice works because interviews are performance under pressure
Reading common questions helps. Writing notes helps too. But interviews test spoken thinking.
That means answers need to be clear, paced, and easy to follow. A strong resume does not help if the answer rambles for three minutes and never lands the point.
AI can help because it gives fast repetition. It can ask follow-up questions. It can challenge weak claims. It can tell you when an answer sounds vague.
Good interview prep needs three things:
Realistic questions
Spoken practice
Specific feedback
AI can handle all three if you guide it well. Reason why you usually want to have a Coach by your side.
The goal is not to memorize perfect answers, you need to sound natural. The goal is to build strong answer patterns, so responses come out clear under pressure.
Think of it like practicing for a driving test. You do not read about parallel parking once and hope for the best. You do it several times. You fix the same mistake until it stops showing up.
Interview practice works the same way.
Set up AI as your interviewer before you start
Do not start with, “Ask me interview questions.” That gives generic results.
Give the AI context first. Share the role type, the experience level, the industry, and the interview round. Keep private details out. Use a copied job description.
A strong setup prompt can look like this:
Act as an experienced recruiter interviewing me for this customer success manager role (copy the JD and company). Ask me the most common questions for this role, industry and company in 2026 (it will probably source from Glassdoor or similar). Start with general screening questions tied to each bullet point in the job description (ticking boxes), then ask behavioral questions, then ask role-specific follow-ups. Tell me what are the top 5 gaps they will see in my profile vs the role. After each answer (use voice), give clear feedback on structure, clarity, relevance, and confidence.
That prompt does four useful things.
It assigns a role. It sets the job target. It asks for one question at a time. It defines the feedback.
One question at a time matters. Real interviews do not hand over a full list and wait. They move step by step. That rhythm forces better listening.
If the role is technical, ask for technical depth. If it is people-focused, ask for conflict, judgment, and communication questions. If it is a leadership role, ask for strategy, ownership, and decision-making examples.
Try this version for a final round:
