Rewarding Update

Software and engagement software includes analytics.

Rewarding Update

UK & Europe

Willis Towers Watson, a leading global advisory, broking and solutions company, today released updated versions of its flagship Pulse Software and Employee Engagement Software. The enhanced software now includes a predictive analytics algorithm as part of the manager dashboards of both employee survey products. The new versions are currently available for implementation. 

The addition of a predictive analytics algorithm significantly enhances the software manager dashboard capabilities by boosting an organisation’s ability to improve its performance in specific business outcomes, such as sales growth, customer satisfaction, turnover, retention and manufacturing output. 

In the past, the manager dashboard identified strengths and weaknesses of an organisation based on the results of the employee survey. Now, using an extensive predictive analytics library that Willis Towers Watson has built over the years, managers can 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 capitalise on unique opportunities that predict performance,” said Stephen Young, global practice leader, Employee Insights, 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.”

While organisations in most industries can take advantage of the enhanced software, financial institutions appear to be particularly well positioned given the industry’s highly competitive nature — for example, to be number one in customer service.

“This new feature is ideal for financial services organisations, which increasingly look to differentiate based on levels of customer service. Organisations 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 programmes,” said Young.



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