Egor Krasnoperov · June 18, 2025 · 4 min read
Over the past couple of years, we've seen an unprecedented surge in AI and LLM (large language models) integration into our daily work. Here's something interesting: back in 2024, when I was hiring UX/UI and product designers, AI and LLM skills were a nice-to-have.
Now? They're absolutely essential.
This shouldn't come as a surprise – McKinsey's latest research backs this up. The numbers are striking: 78% of companies now use AI in at least one business function, up from just 55% a year ago. Even more impressive? 65% of companies are regularly using generative AI – nearly double last year's figure. Three out of four executives expect AI to drive significant or breakthrough changes in their industries over the next few years.
The bottom line? AI tools are becoming deeply embedded in how we work, and this trend is only accelerating. For designers, this means AI skills have shifted from "nice to have" to "must have."
Even if you're not directly using AI or LLMs in your design work yet, you're probably already using products built on these technologies. AI mock interviews are a perfect example of how these new tools can give you a real advantage.
Let's dive into how AI mock interviews can benefit product and UX/UI designers (and professionals across other fields too):
Now? They're absolutely essential.
This shouldn't come as a surprise – McKinsey's latest research backs this up. The numbers are striking: 78% of companies now use AI in at least one business function, up from just 55% a year ago. Even more impressive? 65% of companies are regularly using generative AI – nearly double last year's figure. Three out of four executives expect AI to drive significant or breakthrough changes in their industries over the next few years.
The bottom line? AI tools are becoming deeply embedded in how we work, and this trend is only accelerating. For designers, this means AI skills have shifted from "nice to have" to "must have."
Even if you're not directly using AI or LLMs in your design work yet, you're probably already using products built on these technologies. AI mock interviews are a perfect example of how these new tools can give you a real advantage.
Let's dive into how AI mock interviews can benefit product and UX/UI designers (and professionals across other fields too):
How AI Mock Interviews Boost Designers' Confidence
Benefits of AI Mock Interviews
Instant Feedback
One of the most frequent "pain points" for candidates after going through interviews is the lack of feedback. This especially applies to the very first stage – the screening interview, when rarely does anyone explain in detail what was good and what was bad. Sound familiar? Now AI solves this problem – it analyzes your answers and immediately after the session provides a detailed report: strengths, growth areas, improvement recommendations. This means the candidate gets valuable insights for growth almost immediately, instead of guessing in uncertainty. This not only accelerates skill development but also builds confidence, as you clearly understand what to work on.
Realistic Training in a Comfortable Environment
With modern AI platforms, you can simulate a "real" interview situation. The platform will ask unexpected questions in real-time, immersing you in the interview atmosphere. Simply put, an AI interviewer can adapt to your answers, ask clarifying questions – almost like a human.
This is an excellent way to level up your self-presentation skills: you can polish your project stories using the STAR method, practice articulating thoughts clearly and providing examples – all in a safe, comfortable environment. No stress from a real interviewer's presence, but complete immersion in the process.
Such immersive training helps reduce anxiety before real interviews and makes you feel much more confident.
Repeatability and Accessibility of Training
Unlike live training sessions with a mentor, AI mock interviews can be taken multiple times – even daily – tracking your progress and comparing results. You can train at any convenient time and anywhere, without adjusting to a mentor's or group's schedule. Plus, the cost of such training is orders of magnitude lower. AI makes quality preparation more democratic: thanks to the adaptability and scalability of technologies, anyone who wants to can hone their interviewing skills with virtually no limitations. Essentially, generative AI takes on the role of an expert mentor, but without the need to wait for an available person and pay large sums.
Important Note: Of course, a live mentor is invaluable at the final preparation stage – they'll provide individual fine-tuning. But you can already perform the main part of preparation through such AI interviews, significantly saving both time and money.
Psychological Comfort and Confidence
Working with AI reduces the fear of human evaluation and allows you to focus on the content of answers rather than worries. Many admit that one reason for interview anxiety is the feeling of intense attention and evaluation of every word. When the interviewer is not a human but a neutral AI, psychological pressure is noticeably lower. You can practice calmly without fearing to "mess up" in front of a live interviewer.
This is especially useful for those who acutely experience failures – AI doesn't judge and doesn't get tired of asking questions; you can try again and again with it.
On the Mockin platform, it's like a friendly mentor in the digital guise of a hiring manager who encourages and guides. As a result, the most comfortable learning atmosphere is created, which directly boosts confidence in your abilities.
Sounds like science fiction? But the truth is that all this is already reality. Technologies that were recently only dreams are available to everyone today. See for yourself – try taking one of the AI mock interviews on the Mockin platform. Get your report, work through the recommendations, and soon you won't even notice how much more confident you've become in real interviews.
Good luck – you'll definitely succeed!
References
One of the most frequent "pain points" for candidates after going through interviews is the lack of feedback. This especially applies to the very first stage – the screening interview, when rarely does anyone explain in detail what was good and what was bad. Sound familiar? Now AI solves this problem – it analyzes your answers and immediately after the session provides a detailed report: strengths, growth areas, improvement recommendations. This means the candidate gets valuable insights for growth almost immediately, instead of guessing in uncertainty. This not only accelerates skill development but also builds confidence, as you clearly understand what to work on.
Realistic Training in a Comfortable Environment
With modern AI platforms, you can simulate a "real" interview situation. The platform will ask unexpected questions in real-time, immersing you in the interview atmosphere. Simply put, an AI interviewer can adapt to your answers, ask clarifying questions – almost like a human.
This is an excellent way to level up your self-presentation skills: you can polish your project stories using the STAR method, practice articulating thoughts clearly and providing examples – all in a safe, comfortable environment. No stress from a real interviewer's presence, but complete immersion in the process.
Such immersive training helps reduce anxiety before real interviews and makes you feel much more confident.
Repeatability and Accessibility of Training
Unlike live training sessions with a mentor, AI mock interviews can be taken multiple times – even daily – tracking your progress and comparing results. You can train at any convenient time and anywhere, without adjusting to a mentor's or group's schedule. Plus, the cost of such training is orders of magnitude lower. AI makes quality preparation more democratic: thanks to the adaptability and scalability of technologies, anyone who wants to can hone their interviewing skills with virtually no limitations. Essentially, generative AI takes on the role of an expert mentor, but without the need to wait for an available person and pay large sums.
Important Note: Of course, a live mentor is invaluable at the final preparation stage – they'll provide individual fine-tuning. But you can already perform the main part of preparation through such AI interviews, significantly saving both time and money.
Psychological Comfort and Confidence
Working with AI reduces the fear of human evaluation and allows you to focus on the content of answers rather than worries. Many admit that one reason for interview anxiety is the feeling of intense attention and evaluation of every word. When the interviewer is not a human but a neutral AI, psychological pressure is noticeably lower. You can practice calmly without fearing to "mess up" in front of a live interviewer.
This is especially useful for those who acutely experience failures – AI doesn't judge and doesn't get tired of asking questions; you can try again and again with it.
On the Mockin platform, it's like a friendly mentor in the digital guise of a hiring manager who encourages and guides. As a result, the most comfortable learning atmosphere is created, which directly boosts confidence in your abilities.
Sounds like science fiction? But the truth is that all this is already reality. Technologies that were recently only dreams are available to everyone today. See for yourself – try taking one of the AI mock interviews on the Mockin platform. Get your report, work through the recommendations, and soon you won't even notice how much more confident you've become in real interviews.
Good luck – you'll definitely succeed!
References
- McKinsey | Superagency in the workplace: Empowering people to unlock AI’s full potential
- ScienceDirect | AI-enhanced interview simulation in the metaverse: Transforming professional skills training through VR and generative conversational AI
Don’t just dream — prepare!
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