As organizations evolve and adapt to a rapidly changing workplace, leadership development is no longer confined to traditional training methods. 1st-time managers and supervisors are embracing technology to enhance their skills and build leadership capabilities, making it critical for businesses to harness the right tools to support this growth.
Traditional, centralized, top-down employee engagement work is incongruent with the uncertainty and dynamic nature of the future of work. As such, conventional engagement surveys hold the inherent risk of not fully capturing the personal nature of engagement, limiting OD practitioners’ ability to implement sustainable organizational improvements.
The recent Gallup State of the Workplace Report revealed that employee engagement and well-being levels in the U.S. have decreased in the past 12 months. This downward trend is not surprising given the current turbulence from political divides, labor market uncertainty, and economic hardship. However, this is only part of the story.
By embracing a data-driven approach to leadership development, organizations can bridge the gap between leadership behaviors and organizational performance metrics, thereby unlocking new pathways to success. In this article, we will explore the transformative potential of data-driven leadership development, from the importance of linking leadership behaviors to core organizational performance metrics to the practical steps organizations can take to harness the power of data in their leadership development initiatives.
In business, measuring and tracking key outcomes such as revenues and profit is imperative to gauge improvement or growth. However, if profit does not reflect the projections or expectations it would signal an issue. Understanding the underlying factors (drivers) that contribute to these outcomes (indicators) is crucial for implementing effective solutions. This principle is not only applicable in financial analysis, but is equally critical in evaluating and enhancing employee engagement.
In the current landscape of employee surveys, organizations can choose from a variety of survey platforms, ranging from expensive and overly complicated survey systems, to simplistic one-dimensional products with limited analytics capabilities. The more popular survey platforms generally lack the advanced analytics necessary to track and analyze survey data in real-time at organizational and at team level, or the flexibility to accommodate different types of surveys, such as engagement surveys, automated lifecycle pulses or 360-degree leadership reviews.