When you scan the performance industry, there’s lots of buzz around LXPs, LEPs and, if you look closely, Learning Analytics Platforms. Yet, organizations continue to treat learning, performance, and business results as separate efforts.
Performance isn’t just an outcome we measure. It’s intelligence that shapes what happens next. That intelligence should be driving business results.
We’ve evolved from asking what people need to know, to what they need to perform.
Performance Intelligence introduces a bigger question:
What does the enterprise need people to do now? What is the current state of performance? And how should the system continuously adapt to help them succeed?
This is the promise of Performance Intelligence: connecting what the business needs with what people need to perform – and continuously adapting as those needs change.
Organizational conditions, enablement, performance, and business results are interconnected. Each influences the other, creating opportunities to continuously learn, adapt, and improve.
The opportunity is to move beyond isolated interventions toward an adaptive system that connects people, performance, and business results – even as business conditions and expectations continue to change.
If performance is dynamic and interconnected, why not manage it that way?
