In 2018, employers are looking to hire more than ever before, while many employees are looking for a change.
According to a recent study by CareerBuilder, an astounding 40 percent of employees reported that they plan to change jobs in 2018. With so many candidates applying to jobs, companies are going to have to step up their game to attract the most qualified applicants and organize them once they’ve applied.
That’s where finding the best Applicant Tracking System comes into play.
What is an Applicant Tracking System?
An Applicant Tracking System, also known as an ATS or talent management system, is an easy-to-use computer-based hiring tool that can help recruiters save time and stay organized as they search for the best candidates. Continue reading
According to LinkedIn’s Recruiting Trends 2018, 67% of recruiters say AI helps them save time, 43% believe it removes human bias, and 31% say it delivers the best candidate matches.
So if you’re in talent acquisition, investing in AI seems like a smart move. But how do you decide which AI tool is right for you?
I break it down in our new 11-point buyer’s checklist on AI for recruiting software.
Section 1: Questions for your team
Your decision making process for buying AI for recruiting software starts with the questions you ask your team (and yourself).
A good starting point is asking yourself: what’s our biggest pain point? Continue reading
Have you ever heard the term “shelf-ware?”
That’s when your company buys software but no one inside the company really uses it once it’s bought, so it sits on the shelf. Get it?
Shelf-ware is extremely costly to a company. Basically, buying something for a bunch of money, never adopting it, and likely renewing it at the end of the contract.
No one wants to throw money away. So how do you make sure that the software you invest in actually gets used and doesn’t become shelf-ware?
Here are three important factors to consider when you buy recruitment technology.
#1: Integrations with your current recruiting stack
Make sure whatever you are considering purchasing integrates with your existing workflows. Continue reading
With the rise of chatbots, conversational recruiting has become the hottest strategy in talent acquisition.
A recent demonstration of Google’s Assistant scheduling a haircut blew people’s minds and hints at the intriguing future of what conversational recruiting could look like.
Conversational recruiting is defined as attracting, qualifying, and engaging candidates with real-time, continuous one-on-one messaging. These conversations are flexible and take place where candidates already are: on mobile, social media, and messaging apps.
Already common in sales and marketing, conversational commerce is the adoption of real-time messaging with people, brands, products, and services.
The technological advancement that enabled conversational commerce to happen was the merging artificial intelligence with everyday consumer interactions. Continue reading
Google made a big splash in the recruiting industry with the release of Google for Jobs back in November 2016. Only available in the U.S. at the time, Google for Jobs just became available in Canada and India.
Using machine learning, Google For Jobs matches job seekers’ intentions with relevant job postings by understanding job titles, descriptions, skills and preferences.
It promised to find better job recommendations for candidates by finding relevant job postings that job seekers would miss otherwise because they contain specific jargon, save them time, and improve its searches over time by collecting more data.
One of their early customers was CareerBuilder. Continue reading
The rise of AI in various industries is an interesting and far-reaching discussion.
A very small percentage of people are at the forefront of working with the technologies involved, most are aware of the potential ramifications, and some are choosing to ignore it.
AI was actually initially developed at a 1956 conference at Dartmouth University. As of yet, it’s not quite at scale.
This is what we do know, however: it’s likely AI will take away jobs. The number most reported by reputable sources seems to be somewhere between 35-47% of jobs could be automated away in the next 25 years. Continue reading
About 5 years ago, I had the opportunity to talk to some executives at one of the biggest technical recruiting firms in North America. They pointed me towards one of their recruiters, who was generating more money for the firm than anyone, as well as bigger placements.
The funny thing was, though, she never worked on open requisitions, which was the strategy of 99% of the recruiters employed by the firm. Instead, she simply had built an amazing proactive pipeline, while it definitely took time – now she was just reaping the rewards of said proactive pipeline.
What is proactive recruiting? Continue reading
Sourcing is the second highest origin of hires after direct applicants, so a lot of attention is being paid these days to metrics and tools to improve this crucial function.
Here are 7 metrics about sourcing that every talent acquisition professional should know summarized in an infographic below.
Metric #1: Every 1 in 72 sourced candidate is hired
According to Lever, candidate sourcing is one of the most effective ways to hire. On average, one in every 72 sourced candidates is hired compared to one in every 152 applicants.
Metric #2: Sourcing takes up 1/3rd of a recruiter’s work week
Entelo’s data found on average, a recruiter spends ⅓ of their week or about 13 hours sourcing candidates for a single role. Continue reading
Despite so many technological evolutions in recruiting, it appears candidate experience isn’t actually improving that much.
For example, 60% of candidates have had a bad candidate experience, and 65% have never heard once about the status of their application. 72% of hiring managers feel they provide clear job descriptions, but only 36% of candidates feel the same.
We have tons of research and ideas out there on candidate experience, we’ve also written about it.
The information, processes, and best practices are out there but organizations, hiring managers, and recruiting teams aren’t getting it right.
Why would this be? Continue reading
There’s an increasing body of research that shows human beings don’t use our time all that well, including this study on how judges schedule their time.
One of the key findings of this research is:
“For knowledge workers and managerial positions, there is evidence from time diaries that all sorts of workers schedule their workflow ineffectively, in the sense that they tend to jump from one task to another too frequently.
They spread themselves thin, and then they achieve less than they would if they worked on something until completion.”
If you’re reading this, you’re likely in recruiting, sourcing, or talent acquisition. Continue reading