We are addicted to measuring things about ourselves. That’s why wearables and Quantified-self are increasingly covering more aspects of our lives. As Josh Bersin says in an article about quantified employment, ‘not only we are instrumenting our bodies, we are instrumenting everything else’. Beyond physical exercise, we monitor our friends, our home, what we do and with whom.
And our job couldn’t be less. Quantified-self is making 21st-century jobs ‘more instrumentalised, more transparent and more dependent on data’.
We welcome the quantified employee
Monitoring work makes it possible for us to have a detailed view of our productivity and of how it gets affected by internal and external factors. Some of the benefits brought by Quantified-self are:
- Recognition. Each employee gets valued by his true performance, which allows establishing a true meritocracy.
- Training and learning. Spotting the needs of every employee in order to adapt training to their actual needs.
- Conciliation. Improving the balance between professional and personal lives.
- Wellbeing. Monitoring not only productivity but the health of the employees allows them to receive the advice and help they need to improve their physical wellbeing, which also has an impact on their productivity.
Human resources and transparency
With the quantified employee, Human Resources departments face which has always been one of their greatest challenges: attracting and retaining the best talent. Workers’ activity data allows them to offer the company real data and tools to design and apply custom-made policies that may have and impact both on the motivation of employees and on cost reduction and productivity improvement.
Likewise, it helps the objectivation of Human Resources management and the optimization and improvement of processes of every aspect of business management.
The challenge of privacy
Not everything is an advantage. Quantifying the productivity of workers faces several challenges related to data security. Companies need to use tools that guarantee the privacy and confidentiality of data, combining a solid data protection policy and a rigid security in order to guarantee that only users decide what they do with their data and who has access to it.