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News Article

Design Thinking and Data Science: Powerful Duo to Transform HR

By Anamary Olivas | Fri, 08/12/2022 - 17:30

Creating empathy in colleagues and discovering their needs will always bring companies much closer to solving organizational problems than only focusing on improving products or services. Experts believe that a combination of design thinking and data Science might be the way to foster this way of thinking.


Modern Human Resources (HR) departments often focus on people-centric approaches, shifting away from the traditional customer-focused approach by seeing employees as the company’s focal point. According to a research study conducted by Gartner, companies spent an average of US$2,420 per person on initiatives and efforts to improve the employee experience in 2019. In 2020, Deloitte published that only 22 percent of organizations are creating experiences for their employees. According to the Inegi Business Demography Study (EDN), Mexico had 4.9 million businesses in 2021, with an average of 2.45 people employed per business. This implies that only 2 million people out of a total of 12 million gained a better experience in their respective workplaces.


Another indicator is the satisfaction level of employees. According to a study led by Gartner in 2020, only 13 percent of employees said they were happy with their working experience. However, organizations that focus on improving their employee experience are four times more profitable according to McKinsey.

Human-centered outcomes require developing empathy within the company. A continuous, reiterative and sustainable working method to achieve this is design thinking, which helps teams to understand the needs of others, to shape the intent behind any product or service and to foster results quickly and on scale.


A first step to implement design thinking is to put people's needs first. A second step is to listen, be empathetic and learn from people to correct courses and design prototypes that allow HR departments to evaluate milestone reached by people within the organization.


The third part involves forming multidisciplinary teams to move faster and work smarter in addressing the needs of coworkers. One of the most important roles in the formation of these teams is a data scientist. Data science is a process during which data is collected and transformed into usable insights, generating a continuous cycle of observation and reflection on things to do or problems to solve. In addition, it requires a continuous alignment around results that deserve to be discussed and reflected on in a safe space, to give and receive opinions from all team members with the goal to strengthen a company’s value proposition.

The data used in this article was sourced from:  
McKinsey, Gartner, INEGI
Photo by:   Pixabay
Anamary Olivas Anamary Olivas Journalist & Industry Analyst