With more competing opportunities than ever before, employers are looking for ways to develop a healthy pipeline of talent as well as retain the competent employees they already have.
Right now I’m going to exercise whatever modicum of executive privilege is available to me and turn this week’s column into a rant that has been a long time coming.
How can you accelerate change and make sure that every employee, from mailroom to the CEO is fully invested in the ideas and initiatives that will drive growth?
Innovation is the future of work. As the U.S. adapts its competitive advantages to the 21st Century, innovation and re-invention are more and more the everyday reality for American companies.
Soft skills can’t be automated and will be increasingly in demand as we continue into the 21st Century and the future of work. Any organization with an eye to the future should have an eye on their candidates soft skills.
Greetings, Earthlings! I’m excited to announce that Purple Tree
Recruiting is launching our brand-spanking-new One Question Survey for
HR Professionals. The OQS is a quick, painless survey that we created to
quickly gather feedback from our friends in Human Resources.
Because you’re busy! Far and away, the number one complaint we hear
from HR professionals is that you’re overworked. That’s why in our quest
to learn as much as we can about HR teams we decided to keep it simple
and most of all quick. It takes less than 30 seconds to answer the OQS,
making it the easiest thing you’ll do today.
Every week we’ll make the results of the OQS available to everyone.
Whether you’re curious about what your peers think, or are looking for
data on HR for your own purposes, the OQS results are insightful and
Big Data is on the lips of every consultant from Silicon Valley to Dubai and it seems like these days everyone has a new tool or platform that claims to use data to drive profits and efficiency. The reality on the ground is entirely different however, as we encounter executives everyday who struggle to integrate data into their decision-making or worse, pull the wrong conclusions from the data that is available.