Worklytics is designed to help organizations continuously improve their employee experience with the goal of boosting morale and helping retain key talent. To do this, the Worklytics platform analyzes data from a variety of sources to measure what it’s like to work at all levels within your organization. The data is used to identify which key Factors drive experience outcomes such as higher engagement scores and lower attrition rates. This includes analyzing factors such as employee lifecycle, promotions, work process, collaboration, management practices, inclusion and more.
Worklytics uses algorithms to analyze and rate each group in the organization with an Employee Experience Rating. This real-time score of what we estimate it is like to work in various teams in the organization and is driven by the factors identified in those groups.
How do these magic algorithms work?
Worklytics looks at several years worth of data on employee engagement surveys and past attrition to learn what drives key outcomes. For instance, we might identify that people who have recently had a manager change are 50% more likely to have a low engagement score. Similarly, we may pick up that teams that have regular 1:1s with managers are 80% less likely to have issues with attrition.
These patterns are learned and continuously improved over time and used to measure what it’s likely like to work within various groups in your organization based on which factors are currently present. For instance, we know that 1:1s are key to preventing attrition and we identify that several teams are skipping them. This knowledge will likely lead to a lower Employee Experience Score for those teams and the factors driving this change will be listed on their dashboards.
Our interface and reports are made up of a few key components. Click on any of the links below to learn more: