The demand for soft skills matching is almost exceeding that for hard skills as businesses seek talent to engage well and become more productive and efficient. A study from Boston College, Harvard University, and the University of Michigan found that soft skills training, like communication and problem-solving, boosts productivity and retention 12 percent and delivers a 250 percent return on investment based on higher productivity and retention. And according to Deloitte’s Global Human Capital Trends report, 92 percent of respondents rated soft skills as a critical priority.
Talmix already uses hard skill datasets like specialist experience, sector knowledge, functional expertise, numbering hundreds of thousands of data points, as part of its Talent Intelligence processing to generate matches to business requirements posted on its platform. These connections are generated instantly and mean that currently over 50% of businesses are introduced to the talent they hire within 24 hours from first stating their needs.
The new feature enables clients to specify and rate soft skills relevant to each of their requirements, enhances Talent Intelligence and
- Improves the accuracy of matching based on specific soft skills requirement
- Builds high volumes of datasets with increased granularity to continue to refine and enhance connections
- Shortens the time to match, improving client experience and resulting in faster more productive hires
- Enhance future matching using machine learning to refine results based on client selections
The demand for soft skills, like communication, cultural fit, social and emotional intelligence has become a critical factor in bringing in the best talent to business and has become a regular request from our clients. We already believe that making talent connections faster will finally close the talent gap: this is another crucial piece in building the best workforce for business.
For more information on how to specify soft skills, please contact Talmix today.
About the AuthorMore Content by Dorothy Mead