Out-of-the-Box Thinking isn’t Enough for Leaders
Fostering innovation is a critical leadership responsibility. Leading in today's turbulent and digital marketplace requires more than cliché advice about out-of-the-box thinking. Leadership performance expectations are increasingly more complex. Leaders are expected to deliver low cost and high reliability, standardization and personalization, global consistency and local sensitivity, to name a few. Advances in technology are driving this evolution as leaders scramble to provide choices to stakeholders with competing priorities. The challenge leaders face is that our thinking is easily limited by the familiar. A closed mind is a hard thing to open. It is a classic "blind men and an elephant" parable problem where an individual perceives absolute truth based on subjective experiences. The conventional advice for leaders to think outside the box does not go far enough to produce significant positive change. Leaders looking to innovate need data-informed creative thinking.
“There’s one thing worse than change and that’s the status quo.” John le Carre
Debunking an Innovation Myth
Innovation and analytics thrive in a change-based environment. A commonly held myth is that innovation comes from an epiphany versus hard work, personal sacrifice, and taking risks. The story of how Isaac Newton discovered gravity is a commonly used example of the widely held oversimplification of innovation. In reality, Isaac Newton used mathematics to explain how gravity works, rather than an apple falling on his head that lead to the discovery. The epiphany aspect of innovation is like when the last piece of a puzzle fits together. What matters is the ability for leaders to clearly see a problem with the talent to solve it rather than the epiphany moment.
What Leaders Really Need
Technology is collecting a deluge of information that has the potential to make or break any organization. In a 2019 Gartner survey of HR leaders, only 21% believe their organizations effectively use talent analytics to make better decisions. Descriptive, diagnostic, predictive, prescriptive, and cognitive analytics provides leaders with technology-enabled data-driven models and visualizations within the innovation process. Leaders need the ability to leverage analytics in each of the four phases of innovation:
Problem exploration: Answering what are the possible problems?
Problem selection: Answering what problems should be solved first?
Solution exploration: Answering what are the possible solutions for the selected problem?
Solution selection: Answering what are the best solutions to the selected problem?