The most recent ManpowerGroup employment perspectives survey for the third quarter of 2021, 70% of companies in Colombia have difficulties in covering jobs because it is increasingly complicated for companies to find the ideal talent.
Talentu, a human resources accelerator that unites artificial intelligence, processes automation and digitalization to enhance the attraction of talents to companies, revealed the 5 errors that companies currently make when recruiting personnel taking into account the management of the areasof human talent of various organizations in the search for ideal talent.
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These are the most common mistakes
While the sales, operations and finance areas focus objectives and strategies in the figures, some personnel areas still operate under traditional models oriented to intuition.Meanwhile, with a data -oriented strategic plan and supported by technology, human resources areas can have continuous and exact measurements about the decrease in costs, recruitment and onboarding time, among others.
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The resumes is where the problem of biases in the labor market can be reflected most.Sometimes recruiting areas can favor some candidates depending on the information they find in these and this affects organizations.
Given the search and shortage of talent, the ideal is to rely on outsourcing, through solutions that adopt evidence to evaluate beyond the skills and talents that candidates have;For example, cognitive skills and emotional intelligence (creativity, self -confidence and problem solving).
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The search for candidates, interview administration, programming and hiring can be automated works, because by eliminating these manual processes, it allows talent areas to focus on other strategic work.In addition, the automation of these processes through technology can bring great benefits such as improving processes, saving costs and getting the best candidate.
Technology, in its different applications, helps recognize candidates related to the needs of companies.Some solutions that contribute this process are artificial intelligence, programming and automated technology, in addition to data analysis and reading.Therefore, not involving technology in personnel selection processes could influence the growth of companies.