People’s Performance is dependent on many factors related to the employee, organization, and the industry. However, only a small set of factors account for the bulk of the performance variation and therefore must be scientifically identified. Our strategic Analytics models let you discover the factors affecting performance.
“Analyzing performance with readily available data is like discovering the tip of the iceberg. What it reveals is interesting but what it conceals is significant.”
This graph provides insight into when a person should be sent for induction training and how long does the performance benefit last. On entering your key data within this new framework, you get a direct insight into the factors influencing People’s Performance.
You need a performance model to discover the root cause of the under-performance of each employee which varies from time to time and geography to geography. PPM is complex because People Performance is determined by many factors. They might be internal to the employee, internal to the organization, or external to the organization. It requires competencies in data sciences in addition to deep insights into human behavior. Data Analysis must be based on “What we don’t see” in addition to “What we see”. It must be based on data patterns and complex data visualization.
“Every employee marches to a different drummer when it comes to his or her performance. So, the truth is often in the ‘drilled-down’ data.”
Can you predict performance with scientific performance models?
The aggregate data (the Blue line) hides the under-performance of several employees and masks the chaotic performance patterns of most employees. By plotting your company data in this new model, we identify the key factors affecting People Performance and hence provide you with solutions.