By recording live interviews, our platform harnesses the power of artificial intelligence to help teams run a faster, better interview process.
Request a DemoIf you're new to the topic of interview intelligence technology, you may be unfamiliar with how AI hiring tools are changing the game for HR and recruitment teams. Artificial intelligence for interviews, onboarding, and even candidate sourcing has shifted our thinking about hiring and automated many time-consuming aspects of the process. From automated interview questions to predictive analytics, AI is making it easier to find and hire the right candidates for your organization.
What is Interview Intelligence Technology?
We'll go deeper into this in a later section, but "interview intelligence" refers to the use of artificial intelligence and machine learning algorithms to assess candidates during screenings, assessments, and interviews. One example of this is AI interview questions and answers that can be added to a video interview platform like Zoom as prompts during the interview. These prompted questions lead to more equitable interviews and allow for more objective evaluations of candidates.
Why is interview intelligence important?
Interview intelligence technology has become increasingly important in recent years due to the high volume of resumes and job applications that organizations receive, making it nearly impossible for HR teams to review every candidate thoroughly. Combine this with workforce shortages and advancements in technology and you have a recipe for "overwhelm" and rushed hiring decisions. AI streamlines this process by using algorithms to match applicant skills with job requirements, eliminating the need for manual screening and saving time for HR teams.
How does AI benefit recruitment?
The benefits of AI in recruitment are numerous. Firstly, it can automate repetitive tasks such as reviewing resumes, sourcing candidates, and scheduling interviews, allowing HR teams to focus on higher-value activities that require a "human touch," - such as building relationships with candidates and improving the overall candidate experience. Secondly, AI can help reduce bias in the hiring process by removing human subjectivity and relying on data-driven decision-making. This leads to more diverse and inclusive hiring practices, leading to a stronger and more well-rounded workforce.
What are the potential drawbacks of AI in interviews?
While there are many benefits to using AI in interviews, it's also important to consider one or two drawbacks. One concern is that algorithms may perpetuate existing biases by relying on historical data. In short, this means that AI is only as good as the data it's learning from. If you give it biased data, it will give you biased results. Another potential drawback is the lack of human connection and intuition that can come with using AI for interviews. While it streamlines the process, some argue that it takes away from the personal touch that comes with traditional interviews.
When building the interview intelligence software Pillar uses to assess candidates, we took all of these factors into account. Learning from bias examples that teams at Google, Amazon, and others faced with their AI hiring tools, we began with DEI as a primary consideration and have been able to increase diversity hiring by more than 50% in some cases - more on that later.
Now that you know what an interview intelligence platform is, let's talk about the best interview intelligence platforms on the market. With more than 300 AI hiring tools listed on G2 (and still more being developed each day), one of the questions we see a lot in HR circles is, "What's the best AI interview software for my team?" With so many to choose from, how do you pick "the right one?"
How to choose the right interview intelligence platform for your team:
Choosing the right interview intelligence platform for your team requires a couple of considerations.
1. The Industry you're in, and the types of hires you need to make: Different industries have unique hiring needs and challenges. It's important to choose a platform that is built to handle the specific requirements of your industry.
2. Size Considerations: The size of your organization matters. Smaller companies might need a simple, straightforward tool, while larger corporations might require a robust platform capable of handling complex hiring processes across multiple departments or locations.
3. Budget: Cost is always a factor, so you'll need to consider how much you're willing to invest in an interview intelligence platform. Remember, however, that these platforms can often save money in the long run by streamlining the recruitment process and reducing the risk of bad hires.
4. Integration with existing tools: A good platform should be able to seamlessly integrate with the tools your HR team is already using. This could include applicant tracking systems (ATS), HR information systems (HRIS), or other recruitment tools.
5. Number of hires: If your company is planning to make a large number of hires in the near future, you'll want a platform that can scale to meet those needs without compromising on efficiency or accuracy.
6. Ease of use: An intuitive and user-friendly platform is crucial for a successful adoption by your team. Make sure to choose software that is easy to navigate and doesn't require extensive training.
7. Customer support: Look for a platform with reliable customer support in case any issues arise. This can save you time and frustration in the long run.
Ultimately, the right interview intelligence platform for your team will fit each of these factors in some way. Once you have all of these listed, take a look at the options on the market, demo, and trial a couple of options, and see what fits you best.
Pillar (shameless plug) is the interview intelligence platform that our team built and we believe it's the best of the best. Our platform is designed with diversity, equity, and inclusion at the forefront and offers a seamless integration of AI technology with human touchpoints to provide a comprehensive and unbiased hiring process. But don't just take our word for it - do your research and choose the platform that aligns best with your team's needs and values.
So I mentioned earlier we'd answer the question, "What is interview intelligence?" Let's dive deeper into that now. In November of 2022, the masses were introduced to artificial intelligence through the launch of OpenAi's ChatGPT. Before then, unless you were in direct contact with artificial intelligence (AI) and machine learning (ML) tools by being part of a research team or working on special projects, you wouldn't have had much exposure to them- (although they've been buzzwords for years). But these tools have been quietly working behind the scenes to run many aspects of our lives for years.
Ever clicked on a "recommended" video on YouTube? or added a "connection" on LinkedIn or "friend" on Facebook that was recommended for you? That's ML. Ever interacted with a chatbot to solve a customer service or technical issue? That's AI. And, it's the same for streaming platforms like Netflix and Hulu, social media networks, and retail sites like Amazon. Hopefully, that gives you a good picture of the capabilities of AI and ML tools - but you may still be wondering, "How does that help me in the interview process?"
Interview intelligence software is a type of AI technology specifically designed to help you select great candidates in the interview process in the same way that it helps you select the next show to binge. It takes the data, information, and criteria you've given it and makes decisions (or recommendations) based on that input.
But why is this necessary? Can't we just rely on human judgment for hiring decisions?
Well, unfortunately, human judgment can be biased - whether consciously or subconsciously (something you can read more about on our blog). This can lead to a lack of diversity in the hiring process and potentially result in poor hiring decisions. Interview intelligence software helps mitigate this by using objective data and algorithms to make recommendations, removing any potential for bias in the decision-making process.
In other words, interview intelligence is the software that helps you make better hiring decisions - but it doesn't stop there. At Pillar, we wanted to help streamline many aspects of the hiring process that took time, increased hiring costs, and decreased efficiency. So Pillar connects with the tools in your hiring tech stack to schedule screenings and interviews, automates candidate introductions, includes a library of interview questions, records, transcribes, indexes, and highlights interviews to make sure that the right people on your team, and provides candidate scoring that's objective and unbiased. We also have a backend of interviewer coaching tools and more...
So at Pillar, when we say "interview intelligence," it's not just about AI technology - it's also about creating a holistic and efficient hiring process for your team- and we believe that by utilizing this type of software, companies can build better teams who do better work.
If you're currently struggling to find the right people for your open roles, we'd love to help you make better hires. Book your demo to chat with someone from Pillar today- and see how interview intelligence can have a positive impact on your team.