WESTWOOD, Mass., Aug. 23, 2016 /PRNewswire/ -- The Predictive Index today announced it has received the 2016 Award for "Best New Workplace: Small Renovation" from CoreNet New England. The newly renovated office headquarters is located at 101 Station Drive in Westwood, directly behind University Station. The open concept office space occupies more than 21,000 square feet, nearly double the size of its previous location in Wellesley Hills.
"We put a lot of thought and energy into the design of this new space and are delighted to have been named a winner by CoreNet this year," said Mike Zani, CEO of The Predictive Index. "The new office design represents our work style and culture. The open workspaces promote both workday enjoyment for our employees and high productivity as a result."
The Predictive Index engaged designer Lannhi Tran, Founder and Chief Designer of Little Dragon Decor to re-imagine their new office space to foster innovation, collaboration, and create a tangible experience that delivers on the company's core values and recent re-brand. The end result includes open-area and collaborative workspaces, massive expanses of whiteboard and glass brainstorming walls, as well as multiple gathering areas.
"It was such a great experience to get to bring to life the company's core beliefs in transparency and an energized workforce," said Tran. "It's been so rewarding to hear firsthand from employees the impact that the space layout and usability has had on interpersonal and cross-team dynamics, as well as company culture."
For photos of The Predictive Index's new space, please visit the PI Blog.
The CoreNet Awards of Excellence Gala honoring the winners will be held on Tuesday, November 1, 2016 at The InterContinental Hotel in Boston, MA. For more information about the awards gala, please visit the CoreNet Global New England Chapter's website.
For more information, contact:
Elsbeth McSorley
781-801-1350
[email protected]
Lannhi Tran
[email protected]
214-562-5602
About The Predictive Index
Serving more than 8,000 clients across 142 countries and delivering solutions in 70 languages, The Predictive Index is a simple methodology that allows businesses to understand what drives their people so they can take them where they want to go. Through a unique blend of scientific assessments, groundbreaking software, top-notch management training, and professional consulting from the world's best workplace behavior experts, The Predictive Index can help you overcome the most complex business challenges. Scientific validation and a 60-year proven track record has shown that business challenges big and small are no match for our unique approach to client education and knowledge transfer, which ensures swift adoption, direct ROI, and high impact on performance metrics. Each year, 2.5 million PI assessments are administered and over 7,000 professionals are trained in our workshops.
Visit www.predictiveindex.com to learn how to select, hire, and onboard the best-fitting talent, increase employee engagement, develop teams, discover high potential employees, and overcome sales slumps.
About CoreNet Global
CoreNet Global is the world's leading association for corporate real estate (CRE) and workplace professionals, service providers and economic developers. Nearly 7,500 members with 250 New England members - who include 70% of the Fortune 100 and nearly half of the Forbes Global 2000 - meet locally, globally and virtually to develop networks, share knowledge, learn and thrive professionally. CoreNet Global's mission is to advance the effectiveness of Corporate Real Estate professionals and the entire industry engaged in delivering value to corporations through the strategic management of corporate real estate and workplace resources.
For more information about CoreNet Global, please visit www.corenetglobal.org.
Logo - http://photos.prnewswire.com/prnh/20151026/280508LOGO
SOURCE The Predictive Index
Related Links
WANT YOUR COMPANY'S NEWS FEATURED ON PRNEWSWIRE.COM?
Newsrooms &
Influencers
Digital Media
Outlets
Journalists
Opted In
Share this article