Posted on: Wednesday December 02, 2020
Chances are the HR system you use to administer your reward and benefits package comes with streams of usage data. The average Human Resources team is sitting on a data gold mine: data which can be used to improve decisions, make employees happier and optimise processes.
Imagine the value data like this can add to a company. In theory, you can find out once and for all what employees value and which benefits are worth the investment. The challenge is how to leverage this insight to enable effective, validated decision making.
We are empowered by how technology enables us to access our own data. Think of activity trackers like Fitbit, where we can view and make informed decisions based on the data which is being reported back to us.
As an individual, we can use this data to improve aspects of our lives and potentially drive or change behaviour. For example, if we wanted to get fitter and increase our daily mileage, we could use our step count data to drive behaviours which would help reach the objective i.e. increase steps per day.
It should come as no surprise that the importance and versatility of personal data are continually being developed both for commercial purposes and in organisations, particularly for HR and people functions.
Previously, HR decisions could be perceived to be based on gut feel and not on solid research and analytics. However, HR are now much more sophisticated in capturing and analysing data, which helps us continually adjust our employee offer to deliver maximum value and attract the best quality employees.
Here are three ways to measure how employees see your reward and benefits package:
By collecting data regarding the demographics of your organisation, you can determine a baseline breakdown of your organisation’s makeup. In turn, this will help you deliver the most relevant benefits to each group. For example, younger members of the workforce may prefer schemes to help get them on the property ladder, whilst more mature staff members may be balancing the demands of taking care of and protecting their family, whilst trying to have one eye on saving for the future.
By using analytics to see what’s meaningful to employees (either via measuring uptake of benefits via your employee experience portal’s management system, or by using methods such as surveys), and tailoring your benefits offer to fit the needs of your workforce, you can ensure that relevance is at the forefront of the reward agenda. Remember the importance of getting employees’ views, since the analytics won’t show you if something is missing or tell you why a benefit isn’t being used.
3. Compare to averages
Keeping abreast of the trends both nationwide and in your sector will help give an indication as to how your offer stacks up next to the competition. Furthermore, by understanding what other businesses are doing, particularly businesses that are doing reward and benefits well, you can find new ways to progress your strategy.
4. Consider wellbeing
Measuring ROI for wellbeing benefits is trickier as their impact is often broader than simply reducing absence figures, turnover etc. Our sister company Innecto have been developing thoughts on Hapi.ness levers, looking at measuring how well we as organisations manage financial, physical, social and mental aspects of wellbeing to establish an overall wellbeing benchmark for the business.
To realise its full value, wellbeing requires a truly holistic approach, one that focuses on each of these levers and doesn’t just ‘provide a benefit’, but monitors, reviews and ensures a return on investment financially whilst extending the employee lifetime value too. Whilst we should support and measure the wellbeing of the individual, it is intrinsically linked with measuring and understanding the wellbeing of the organisation in its entirety.
In summary, HR teams should look to develop their reward and benefits packages using analytics to inform their approach. Being smarter about the kind of data we collect and use will allow us to deliver best-in-class programmes that are constantly evolving based on the needs of employees.