About Travelex
Travelex knows that its customer experience in exchange booths across the globe is driven by how happy employees are at work.
To give employee happiness the strategic importance it deserves in the business, Travelex needed a way to "see" and respond to how over 9,000 employees feel in real time.
Three years on, Travelex continues to innovate with happiness data, learning that the 20% least happy employees are twice as likely to leave as the 20% most happy — a new dimension to predicting business risk.
The business challenge
Read and respond to the feelings of a global workforce in real time
Our solution
Delivery of real-time actionable data on the drivers of happiness at work to teams, HR business partners, leaders and people analytics
Teams empowered to take action to remove frustrations and improve happiness
Impact
- →Travelex has an intelligent, responsive people KPI, letting them focus on improving work culture
- →Travelex can predict risk of employees leaving and intervene early to prevent the cost of hiring new staff
Access to happiness data has helped solidify its strategic importance in the business, providing insight to a core group of senior-level employees accountable for driving profitability.
Easy-to-use dashboards with traffic-light colours and clear trend lines let teams and HR business partners everywhere engage with the results.
Scores for the key drivers of happiness at work — Connect, Be Fair, Challenge, Empower and Inspire — have helped teams take action, focused on lessening day-to-day frustrations. Travelex set a goal, Leap 2020, to distribute responsibility for business performance by geography by empowering employees to shape the company's future — team action on happiness is emboldening that business-wide strategy.
“Friday Pulse helped Travelex move away from the traditional global employee engagement surveys. It allowed us to use seamless cloud technology to understand how happy our people are. Their system gets to the core of how our employees feel and empowers our managers locally to make a difference to the overall colleague experience using real-time data.”
