avatarAmardeep Parmar

Summary

The article discusses the potential of AI to improve the hiring process by accurately assessing a candidate's fit with a company's culture and team dynamics, thereby reducing the need for multiple interview rounds.

Abstract

The author reflects on their personal experience of staying in a job that wasn't the right fit due to the daunting process of job hunting, particularly the extensive interview process for senior hires. The article highlights the inefficiency and potential biases inherent in traditional interview methods, citing the inability of interviewers to accurately assess candidates' honesty and the tendency to favor those with similar traits. With the cost of a bad hire being significant, the author, now an employer, explores AI as a solution to streamline the hiring process. AI is presented as an objective tool that can create job simulations to evaluate candidates' skills in real-world scenarios, potentially leading to a fairer and more efficient hiring process. The author plans to use an AI platform that claims a high success rate, supplemented with a final interview for a hybrid approach that respects candidates' time and abilities.

Opinions

  • The traditional interview process is exhaustive and inefficient, with the author's friend undergoing eight rounds of interviews for a job she didn't plan to stay in long-term.
  • Employers focus on finding candidates who fit well within the company culture to avoid disruption and potential costs associated with a toxic hire.
  • Humans are naturally biased and poor judges of character, with only a 54% accuracy rate in detecting lies, which undermines the effectiveness of interviews.
  • The interview environment is artificial and may not accurately reflect a candidate's actual job performance.
  • AI offers a more objective approach to hiring by evaluating candidates based on their abilities rather than personal biases or artificial interactions.
  • The author intends to implement a job simulator through an AI platform to assess candidates' practical skills and plans to conduct a final interview as a precautionary measure.
  • There is an ongoing experimentation with hiring methods, and AI is seen as a promising tool for employers to find the best long-term fits for their teams.

Could AI Fix The Company “Fit” Problem?

The end of the interview merry-go-round

Image: GettyImages/Edited by author

Seven months ago, I quit the corporate world to be my own boss. But only after working seven years in a job that, deep down, I knew wasn’t right for me.

Many of you reading might find yourself in the same position. I liked the people I worked with, and I had a challenge, so the years went by without me making a serious attempt to move industries. If my online businesses didn’t take off, I’d probably still be there.

I’ve reflected on why I acted in this way, and I suspect it’s because the energy involved in moving was greater than what I needed to stay. If you’ve tried to move jobs as a senior hire, you’ll know what I’m talking about.

My friend changed companies last month. It only took eight rounds of interviews. They had to determine whether she had the right “fit” or not. She was interviewed by HR, then separately by every single member of her future team. Despite all of those interviews, I knew she only intended to stay at the job for less than two years anyway but told them what they wanted to hear.

This is madness. It’s become a full-time job to find another job.

I hope my business succeeds because the thought of doing seven interviews then facing rejection is heartbreaking. As I begin hiring myself, it made me wonder whether interviewing for “fit” even works?

Why do employers care

I understand why employers can go to such extreme lengths to get to know someone before hiring. If someone new comes in with a style that doesn’t mesh well with the rest of their team, it can disrupt the team’s flow and bring everyone else down. There’s a fine line between the diversity of thought and the inability to meet colleagues’ expectations. According to Harvard Business Review, avoiding a toxic hire or letting one go quickly means $12,500 in cost savings.

Now I’m on the employer side of the fence, and I realize how much I underestimated how difficult it is to onboard people, so they hit the ground running. Every extra hour I spend explaining my logic or fixing mistakes gives me less time to do the tasks that generate the money needed to pay those working for me!

75% of HR managers think the most important thing when hiring is to see how applicants fit within the company. From my own experience, I can’t see this opinion changing any time soon. So are employees doomed to multiple interview rounds forever?

The bias problem

The practice of death by interview can’t last forever because eventually, companies will wake up to how terrible we are at reading each other. We can only tell if someone is lying with a 54% accuracy rate. This is barely above chance, yet how often have you heard people brag about how good they are at reading people.

We naturally are quicker to like people who share common traits with us. If a team is full of white males, it’s unsurprising if it seems like other white males are the best fit. It’s the misguided test of who would I want to go with a beer with rather than who’s the best professional fit.

It doesn’t help that an interview is an artificial environment that doesn’t reflect what it will be like to work with the person. Interviewers might be willing to overlook glaring flaws because they have a good feeling about a person. You’ll see people share anecdotes of how taking a risk on someone worked out amazingly.

Yet the issue is that those who made the wrong decision feel ashamed so they only see one side of the coin.

Why AI might be the solution

We can agree that it’s good for everyone if employers hire someone who can thrive in the culture of the team they are joining, but humans are often terrible at working this out.

Despite popular internet opinion, I don’t think most bosses want to make bad decisions, but they are human. I plan to hire more people toward the end of the year, and I’ve been looking into how I can make the process fair. I also want to avoid the nightmare of hiring the wrong person and the energy it would drain from me.

Inevitably, the social media gods realized I was interested in hiring and started showing me adverts. I came across companies using AI to improve hiring, and I went down the rabbit hole.

AI doesn’t have emotion. It can make objective decisions based on the person’s abilities rather than all the other noise. It’s cold, but it’s fair. It also stops the interview merry-go-round.

I’m going to use Unboxable because they claim a 93% success rate for managers being happy with the person they hired. I’m creating a job simulator where the people I hire can show off their skills in similar situations as they’d be doing when they work for me. I can then judge them based on what they did rather than what they say they can do.

I’d still use a final interview as a sanity check to make sure no red flags jump out at me. The hybrid approach suits me best and what the platform recommends. The key thing is I only interview qualified people, and I don’t waste other people’s time by putting them through a dozen hoops.

There is so much experimentation happening right now with hiring methods as employers struggle to find the people best for the long-term future of their business. AI seems like a natural next step, and it will be fascinating to see where this heads.

Would you want to be analyzed by AI to reduce the interview rounds you need to do?

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