Employee Survey Tool Homes In on Business Outcomes

Global risk management and advisory company Willis Towers Watson has added a predictive analytics algorithm to its Employee Survey Software, to enhance a manager's ability to focus on predicting performance and improving business results.

The firm's 'Pulse' and Employee Engagement software help companies assess employee opinions on events and issues. The latest upgrade helps organizations improve their performance in specific business outcomes such as sales growth, customer satisfaction, turnover, retention and manufacturing output - via an improved manager dashboard.

Using an extensive predictive analytics library built by the company, managers can now create specific performance predictor questions in their employee surveys and load the algorithm to focus on those predictors. The dashboard will then reveal areas that are performing well and those that need improvement.

Stephen Young (pictured), the firm's Global Practice Leader, Employee Insights, explains: 'The enhanced dashboards for our employee survey products will enable managers to go beyond general suggested actions for improvement and, instead, focus and capitalize on unique opportunities that predict performance. With the added algorithm, managers can identify factors that predict outcomes in important business areas, build those into their employee opinion surveys and focus on predictors of improved business performance'.

Web site: www.willistowerswatson.com .