Prior to implementing Sprint Recruiting, I found it hard to balance what should be done with what needed to be done. Using a point system help us prioritize the work and make our clients happy.
The impact machine learning can have in recruiting is very exciting. Here are two ways machine learning can change recruiting.
The key to talent acquisition metrics is measuring what counts. I know it sounds redundant to say but there are a lot of recruiters and talent acquisition teams measuring the wrong metrics.
One of the key principles in Sprint Recruiting is the use of Work in Progress (WIP) limits to help manage candidates through the process.
I’ve already confessed my obsession with analytics on this website in previous posts so it should be no surprise that I am writing another article on the topic. I shared in a recent post the convergence of Data Analytics and Recruiting based on my experience using the Visier platform. I had the opportunity to participateContinue reading “The Ultimate Recruiting Metrics Dashboard-A Review of Visier’s Talent Analytics Add-on”
Talent Acquisition is still trying to catch up with the rest of the world when it comes to leveraging Data Analytics to make better decisions. Unfortunately, most Applicant Tracking Systems (ATS) platforms lack the analytic build outs to help recruiters make smarter decisions quicker and more efficiently. Here some reasons why relying on your applicant tracking system to develop a long-term hiring plan is a mistake.
Most people are freaked out when they are surfing Facebook or another site and find targeted ads related to a product they were researching earlier in the day. Ok, I’m a little freaked out but I am also amazed at how companies know to bring content to me based on data. I guess that’s why I love the topic of data analytics & recruiting.