.jpg)
A global advisory, broking, and solutions company has released updated versions of its flagship employee-survey software.
New versions of the Willis Towers Watson Pulse Software and Willis Towers Watson Employee Engagement Software now feature a predictive analytics algorithm as part of manager dashboards of both employee and survey products.
The enhancements allow managers to use WTW’s extensive predictive-analytics library to 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.
"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," said Stephen Young, global practice leader of employee insights at Willis Towers Watson. "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."
Young said financial institutions are best placed to take advantage of the enhanced software, given the industry’s competitive nature.
"This new feature is ideal for financial services organizations, which increasingly look to differentiate based on levels of customer service,” Young said. “Organizations can now design a survey and manager dashboard (directing managers to issues), which both predict customer satisfaction and need-fixing. This will give them an advantage over those who use traditional survey programs."
