The skills framework is a crucial component of the Clustree platform. Built out of the conviction that skills belong at the heart of all HR processes, its algorithms are able to consolidate over 1 billion user-defined skills into 55,000 curated skills that accurately describe employees from any industry.
However, because career data is complex and ever-evolving, Clustree continuously invests into research and development to introduce regular updates to its AI for the HR framework. The latest version includes the following features:
These features all contribute to the creation of a universal language across sectors for all HR use-cases, which allows Clustree to detect employee skills and preferences, and to suggest bespoke recommendations for internal positions, training, mentors, and professional development throughout each employee’s career.
Employees can utilize these recommendations to aid their career progression and boost their job satisfaction, while HR managers are empowered with valuable insights about their workforce, thereby enabling them to tackle their short-term and strategic challenges surrounding mobility, staffing, sourcing, skill mapping, and human resources planning.
This is especially important as the skills that employees need to fulfil their roles are evolving so rapidly and understanding universal skills is crucial to future-proof organizations.
Martin Boutges, Head of Product at Clustree, explains:
85% of jobs that will exist in 2030 haven't been invented yet. In this volatile environment, where new jobs and skills are constantly appearing, understanding people’s skills and abilities is increasingly important to anticipate any future needs or shifts.
That is where Clustree’s skill framework is so impactful: addressing the skills gap with better recruitment and professional development should be a key priority for all businesses wanting to remain competitive and reach their strategic goals, and we are confident that the Clustree platform can position organizations for success.
SOURCE Clustree
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