As I conducted interviews and facilitated workshops, it became evident that Talent Mobility could be broken down into 6 distinct domains:
Each of these areas were massive in size and scope and beyond the capacity of our small team to address quickly. We also realized we had a problem in that foundational elements such as skill taxonomy and industry standard job titles were not available in Bridge.
“We want to look at talent pathways within Bridge, looking at how we can bring someone into the business and identify what opportunities they’ve got for progression that aligns with their skillset and what their interests lie in. You could start as an apprentice and you have a vision that you might want to become a CEO, so what does that look like for you?We want to offer clarity around what you need to do If someone wants to become a chief exec, but also at the same time we want to offer opportunities for everyone so they can continue to progress in what they are currently doing if they want to remain there.” -Current Bridge Customer
After conducting an initial round of 14 interviews, I took the data and information and with the help of the team, conducted an affinity mapping exercise to help visualize what area would have the biggest impact and should be the focus of our efforts.
As it turned out, in order to build any of the 6 major talent mobility domains, we would need a strong skill and role mapping solution.
Phase 1 was to introduce skill communities, employee profiles and organization charts to the Bridge LMS. Research showed us that connection and collaboration were key to learning and skill development. We were excited to introduce new skills and community features within Bridge. We also partnered with Lightcast to provide an industry standard taxonomy for skill names and job titles. This allowed us to build our foundation.
Phase 2 was to make Bridge smarter by leveraging AI to help employees determine which skills will drive career growth, and recommend content that helps them reach their goals. We also implemented a feature to allow L&D teams to increase productivity by auto-tagging skills to job titles and courses.The hypothesis was, it would save time and increase productivity for L&D Teams.
Phase 3 starts to build on the skills taxonomy foundation and auto tagging of courses to appropriate skills. We are currently working some ideas around career pathing and mentoring that will form the basis for the big picture vision. Figma prototypes of this work have been shown to customers thought this process and at industry conferences and events to validate our hypotheses and ideas.
This is still a work in progress. I'm assembling metrics, customer quotes and benchmark scores Here's what I know so far:
Unfortunately, I was laid off from Bridge prior to seeing this project through to completion. There is a significant product roadmap ahead and I'm excited to see where they take mentoring, career pathing, and the usage of large language models. Please feel free to reach out if you'd like to discuss this project.