Predictive Index
Accelerate growth by designing the right people strategy.
HR NOLA is a certified partner of The Predictive Index (PI). Using PI’s science-based methodologies, HR NOLA helps our clients make better hires and predict candidate success. This allows companies to align their people strategy with their business strategy to achieve peak business results.
People problems have been hard to fix, until now.
Most companies create a business strategy and determine what business results they want to achieve—but they glaze over the critical “people work” that happens in between. You can’t wing it when it comes to team building and culture; you need to take a data-driven, strategic approach. And that’s where talent optimization comes in.
Leverage data to nip problems in the bud:
Without the right data, finding the source of people problems is like trying to see in the dark. PI enables your organization to diagnose the root cause of your issues so you can take swift and proactive action.
Simplify strategy conversations:
Planning your organizational strategy can feel like navigating a minefield. Gain agility by designing a talent strategy that aligns with your business strategy. Ensure you have the right senior leaders in place, as well as the right culture. If you nail both, you can slash turnover and maximize productivity.
Find the right talent faster:
Stop wasting time and money interviewing and onboarding ill-equipped hires. Collect objective candidate data to predict on-the-job success and team fit—then weed out the unsuited candidates. Better quality of hire and reduced time-to-fill means you save time, money, and headaches.
Empower your managers to drive results:
You wouldn’t ask someone to mow the lawn with a pair of scissors; you’d give them the right tools for success. With PI, your managers can leverage 60 years of science and analytics to better engage, coach, and develop employees across your organization so everyone works at maximum capacity—in harmony.
Learn what Ashley has to say about getting started with PI in the video below:
