The Spring SourceCon Conference recently took place in San Diego. If you don’t know what SourceCon is, it’s basically the one place in the world sourcing pros get together to share the secret sauce!
I’ve never been invited, but I hear it’s really awesome. (The “I’ve never been invited” is somewhat of an inside joke as I know I don’t have to be invited to attend if I want to go!)
SourceCon is your NOT normal talent acquisition, recruiting type conference. You just don’t show up and go to lame sessions, then go home. They’ve added a ton of hands-on learning, so when you go home, you actually got better for coming.
One thing the SourceCon folks do is also hold an annual contest called the Grandmaster Challenge. The competition pits anyone who’s interested against each other in a sourcing challenge to see who can solve the issues the fastest and most accurate.
This year the challenge was tabbed Man vs. Machine as SourceCon decided to pit sourcing technology against real-life sourcers to see who’s better. The technology chosen to compete against the humans was Brilent. Brilent is a candidate matching tool that works with your ATS (I wrote about them in May 2016 – I really like their tech!).
The basic challenge presented was this:
- Download a folder of three jobs: Ground Service Agent, Systems Administrator, and Product Manager. The jobs were real but altered from when they were originally posted.
- Download a trove of over 5,500 resumes.
- Search thousands of resumes and find the people who were hired, interviewed and sourced for the roles; by an undisclosed company.
- Points were given when the right resumes were found and classified correctly. (i.e. This person was hired. This individual was interviewed. Et cetera.) Points were also given if contestants found the right resume but categorized it incorrectly.
Brilent uploaded the resumes and did the analysis and returned the results in 3.2 seconds! Yes, that’s seconds with an “S”! The human participants took anywhere from 4-25 hours of research to produce their results.
The machine, Brilent, ended up getting third place because the platform got some of the candidates right, but not all. Humans took first and second, for finding virtually the same list, but a little more accurate.
For my money, the machine won by a landslide!
The reality is, we’re talking about sourcing and new hires. None of us really know who is actually going to be best performers once they’re hired, so I’m not even sure just because the humans were able to find the actual hires made, that those hires will even be any good!
In 3.2 freaking seconds, the machine gave me a really solid list to work from. Or I could have waited for hours, for almost the same list. Machine – 1, Humans – 0.
I just can’t even imagine this is a conversation about who really won here. We won. We won because we can now take a tedious skill of screening and get almost the same results in a fraction of the time. This allows us to have more capacity to increase talent pools, attract higher level talent, build a stronger brand, etc.
I love having great sourcing pros on my team, but I also need to get me a couple of those machines!