How our Skills Benchmarking technology is creating value for companies

by Vinod Bakthavachalam and Emily Glassberg Sands

… and check out the MIT Technology Review article about this topic! …

With technology increasingly transforming the way we work, companies need deep talent intelligence to stay competitive. This includes understanding how employees’ skill profiles stack up to market, where the skills gaps are, and how to close them.

Since launching Coursera for Business two years ago and partnering with more than 1,400 companies, we’ve seen strong demand for talent measurement insights to power our customers’ learning, staffing, and hiring strategies. Today, we’re thrilled to launch Skills Benchmarking, a powerful new Coursera for Business tool that arms companies with the actionable data they need to develop a strategic workforce transformation agenda.

Skills Benchmarking dashboards are built atop our Skills Graph, which maps a robust hierarchy of skills to the content on the platform, as well as to the careers, companies, and industries that require them. Machine learning models trained on anonymized learning and assessment performance data from Coursera’s vast learner and content base provide a birds-eye view of your company’s talent benchmarks against a defined peer group. Companies can customize this peer group based on any combination of industry, geographic region, and company size. With this information, Coursera can help tailor a curriculum to exact learning needs, cultivating strengths and shoring up weaknesses.

To learn more about the features of the dashboards, check out this article on the Coursera blog.

As a more general view of the data, consider learners working in the tech industry and acquiring software engineering skills on the platform. We can compare their skill level by occupation, level of seniority, and level of formal education. The x-axis measures average estimated skill in software engineering based on our skills benchmarking technology, with estimated skill increasing from left to right. The results are illustrative and align well with intuition:

  1. Consider software engineering skills across the 10 largest occupations among tech workers on Coursera. Software engineers and product managers (many of whom were formerly engineers) rank highest, followed by consultants and researchers.
  2. Now consider software engineering rankings for tech workers by level of seniority. Estimated skill level is generally increasing in seniority. However, first-line managers outrank directors and senior individual contributors outrank executives, likely because directors and executives have not as recently honed their technical skills.
  3. Finally, consider software engineering rankings for tech workers by highest formal degree. Aligned with intuition, average estimated skill is increasing with the level of formal education.

We’re excited about the potential of Coursera’s unique learner and skill data to help companies better understand, train, and deploy their talent. Want to explore how our technology can inform your learning strategy and support your talent management? Visit Coursera for Business today.

Source link