Workera’s SkillMap AI feature is a pioneering solution that uses generative AI to enhance and automate the learning journey. SkillMap AI empowers leaders to design and measure skills that align to their team’s objectives, or the objectives of the organization at large. By generating entire skill maps and ontologies at the click of a button, leaders can assess where their teams stand and how to close their gaps.
Workera’s SkillMap AI feature is a pioneering solution that uses generative AI to enhance and automate the learning journey. SkillMap AI empowers leaders to design and measure skills that align to their team’s objectives, or the objectives of the organization at large. By generating entire skill maps and ontologies at the click of a button, leaders can assess where their teams stand and how to close their gaps.
A common challenge for organizations is that learning and development teams can’t efficiently create and manage the volume of skills in their workforce – particularly when it comes to aligning skills with roles and career growth inside complex ontologies and taxonomies. In addition, teams can struggle to identify, measure, and mentor unique skills essential to their specific needs and address skill gaps.
“A common challenge for organizations is that learning and development teams can’t efficiently create and manage the volume of skills in their workforce.”
SkillMap AI aggregates skills and competencies from industry standards set by experts, using inter-organizational data and the Workera Skill Ontology crafted by expert psychometricians. SkillMap AI delivers value by crafting skill domains complete with measurements, assessments, and rapid lessons tailored from custom prompts.
How do we power hyper-personalized learning through data and AI?
Hyper-personalized learning generates vast amounts of data, which can be analyzed to gain essential insights into employee performance and how effectively they’re learning. Here at Workera, we use unprecedented levels of data granularity to predict how a person learns most effectively, and structure the upskilling pathway around this intelligence.
This highly-granular data means assessment and measurements are delivered not just in the context of the learner’s journey, but in the context of the entire team – and then, in the context of the team compared to established benchmarks in the sector or industry. Business leaders can use this detailed data to make informed decisions about investments in training, workforce development strategies, organizational structure, succession planning, and more.
The best solutions for hyper-personalized learning are those that use AI to steer the learner journey. Solutions that integrate generative AI as an automation or co-pilot in the learning pathway ensure the development of the employee stays true to the learner’s individual needs and existing competencies, but still exists within a framework defined by the organization. This enables general competencies and business-specific skill sets to be interwoven – at a pace and design that makes sense for the learner as an individual.
The cross-organizational benefits of hyper-personalized learning
Leading business executives recognize that an educated and skilled workforce is a competitive advantage: organizations that adopt hyper-personalized learning are likely to attract and retain top talent, which can provide a significant edge in the market. By then upskilling this talent to match the goals of the business, leaders can build a more skilled and adaptable workforce that’s better prepared to meet the challenges of the ever-changing workplace.
It’s not just teams that can benefit from a more personalized approach to learning, either: customized leadership development programs ensure business leaders themselves benefit from hyper-personalized leadership development programs that address their unique strengths and weaknesses – helping them become more effective leaders, and thus creating a virtuous circle of continuous learning and development throughout all levels of an organization.
SkillMap AI takes your projects and breaks them down into measurable skills helping you verify each skill and power hyper-personalized learning aligned to your projects.