The recently developed capability to accurately predict whether someone will be a high, average or low performer on specific jobs is a very powerful management tool. Increasingly, it is one that is increasingly impacting the performance of organizations across the globe. The foundation for this capability rests in the ability to quickly profile a person's motivations, natural tendencies, preferences and attitudes along with their knowledge and experience requirements and then relating these to a validated job specific performance benchmark.
If you can accurately predict the performance of managers and employees in thousands of different jobs, it makes sense that this underlying data is highly causal in its impact on performance. Indeed, thousands of organizations, small and large, are now using Job Success Analysis profiles to make key hiring decisions because it enables them to greatly increase their success at choosing high performers.
Many of these organizations are taking perceptual information from tools like 360 reviews, management performance appraisals and other similar activities and mapping to these causal factors that underlie them. The result empowers the performance management process with actionable and causal information so that a significant and lasting impact on employee performance can be made. As a result many organizations are empowering their managers with this causal information giving them powerful and effective tools and data to impact behavior, improve performance and at the same time, improve the work culture.
Others are using this data in management development and team building processes to ensure they have high performing teams that collaborate effectively and also demonstrate effective leadership, execution capability and appropriate decisiveness.