Artificial intelligence is one of the fastest-growing industries today- with tools that can do almost anything you can imagine. But when most of us think about examples of AI, they're for entertainment. Things like MidJourney for image generation, or high schoolers using OpenAI's ChatGPT to write a paper. However, AI's business applications are almost endless, and the trend is just starting.

History and Capabilities of AI:

Artificial Intelligence (AI) was created in the mid-20th century, with the term being officially coined at the Dartmouth Conference in 1956 by John McCarthy from MIT. Over the decades, AI has been rapidly evolving and expanding its capabilities. Moving from the simple automation of tasks and search functions to complex filtering, and querying large datasets for specific metrics, AI can now perform tasks such as speech recognition, natural language processing, and even autonomous decision-making. With the shift to Big Data and advancements in computing power, AI has become the primary tool to gain insights from large networks.

Artificial Intelligence Interview Software:

In recent years, AI has begun to revolutionize the hiring process. Traditional hiring practices mostly consisted of hanging a sign (whether online or in a shop window), and sifting through the resumes that were submitted to find "the right fit." As you can imagine these traditional practices are subjective, time-consuming, and often biased by an interviewer's gut reaction to the candidate. However, with AI, we're able to create objectivity, measure, and score candidates, and predict hiring outcomes with very little human effort. These new AI solutions can screen thousands of resumes in minutes, use predictive analytics to determine a candidate's potential, and even automate routine correspondence with candidates like candidate/ interviewer introductions and interview scheduling.

AI-powered interview intelligence solutions like Pillar are one of the latest advancements in the field of AI hiring. These systems use complex algorithms to evaluate candidates' responses during interviews, scoring them based on certain key indicators. This scoring system can predict a candidate's success in a role with a high degree of accuracy, helping businesses make more informed hiring decisions.

With an AI-powered interview intelligence platform running the background of each interview, you can gather real insights from each interaction on how the candidate will perform. These insights are invaluable in identifying top talent and reducing potential biases that may influence the hiring process.

But removing subjectivity also means you have to create an equitable interview process. Hiring objectively requires the removal of as many "gut responses" as possible and systemizing everything from your hiring criteria to your interview questions. This is where AI interview questions can play a huge role.

Artificial Intelligence Interview Questions:

AI interview questions are developed from job descriptions, keywords, skills, and cultural factors within your company combined with the requirements for the role. For example, if you're hiring an Account Executive (AE) whose primary role with be outreach and sales, you'll need to know if they have proficiencies with your CRM, high closing percentages, an understanding of sales methodologies that you may use, and frameworks for connecting with potential customers. You may also want to assess their cold emailing skills, and ability to use platforms like LinkedIn and Twitter to connect with prospects. AI interview questions can be programmed to ask about all of these skills and more, providing an in-depth understanding of each candidate's strengths and weaknesses.

Pillar offers a library of more than 1000 AI interview questions to our customers to make candidate assessments easy. With just a few clicks, you can add questions to our interview intelligence software and have AI-powered candidate assessment running in the background of each interview.

Artificial Intelligence Interview Questions

Artificial intelligence interview questions are not dramatically different from those an interviewer would normally ask with one key difference - they are designed specifically to assess a candidate's proficiency in skills and knowledge related to the role they're being hired to do. These questions can cover a wide range of topics, from technical skills to problem-solving abilities and cultural fit - for instance, if you're a tech or SaaS company looking to hire Account Executives and Customer Success Managers from outside the industry here are some examples of good artificial intelligence interview questions to ask:

1. As technology continues to evolve, how do you stay abreast of the latest trends in the SaaS industry and how have you implemented this knowledge in your past roles?

2. How have you overcome a significant technical challenge in a past project, how do you feel that would be relevant to a career in SaaS, and what did you learn from the experience?

3. Describe a situation when you had to pitch a technical solution to a non-technical client. How did you bridge the gap between "technical jargon" and "layman's terms?"

4. Can you describe a time when you used data to improve a product or process?

5. How would you explain our platform to a 5-year-old?

6. What has been your approach to maintaining customer satisfaction during a system failure?

7. Can you talk about a time when you had to adapt a product to meet the needs of a diverse set of customers?

8. SaaS technology is ever-evolving. How do you manage to stay updated about the latest tools, techniques, and best practices?

9. Can you think of a SaaS product that you believe is excellently designed and explain why?

As you can see, many of these questions would be asked without the aid of AI, but artificial interview questions and answers go hand-in-hand, playing a key role in sourcing and assessing top talent for your company. With the help of AI-powered interview intelligence solutions like Pillar, businesses can make better hiring decisions and build stronger, more diverse teams.  So, incorporating AI into the interview process is not just a trendy move - it's a smart choice that can bring valuable insights and efficiency to the hiring process.

Video Interview Bots

Interview intelligence goes by many names online. "AI interview bots" and "video interview bots" are two widely searched options- but both miss the point of true interview intelligence. The term "intelligence" literally means, "the ability to acquire, uncover, and apply knowledge and skills." But most "bots" are simply chat tools where candidates can ask questions of a database. I'm not trying to diminish the need for chatbots as they do save HR teams and recruiters a ton of time, I'm simply making a distinction.

True job interview AI is far more complex and nuanced than a simple chatbot. It goes beyond basic Q&A, using advanced algorithms to assess candidates' responses and behaviors in real-time, providing valuable insights into their skills and potential fit for the role.

Consider all of the factors required to properly qualify a software engineer for a role. This person has either gone to school or to a coding BootCamp to learn a very complex skill that they will be asked to perform at a professional level with the reputation of your company on the line.

They must have a strong understanding of coding languages, be able to troubleshoot and problem-solve, work well in a team environment, communicate effectively, and possess other important soft skills. Interview intelligence can assess their confidence levels in these skills by listening for tonal changes, microexpressions, and body language cues, providing a more comprehensive evaluation of their abilities.

Then, the AI can score the candidate on brevity, and compare their past performance and skills to the needs of the role. Based on all of these factors, AI can provide a holistic view of the candidate's potential, allowing hiring managers to make more informed decisions.

That's why these "interview bots" have become a necessity as workforce shortages, access to global talent pools, and the massive increase in technical skills needed to run a business persist. It's harder than ever to find and hire the right talent, especially in competitive industries like SaaS. But with the help of AI-powered interview intelligence tools, businesses can optimize their hiring process and ultimately build a stronger, more diverse team for long-term success.

If you'd like to see how interview intelligence can make your hiring processes more efficient and effective- saving you time, and money, and increasing the probability that you find the right candidate the first time, book your demo today. Our team would be happy to show you how our platform can revolutionize your hiring process and help you build the best team for your organization. Happy Hiring!