I’ve seen some debate on LinkedIn recently about portfolios that show lots of visuals versus portfolios that write detailed and lengthy case studies. So I’m running an experiment to see which type of case-study page translates better.

Here is a case study that is heavy on visuals with very little context and information. Let’s see if the best stories are told with pixels or paragraphs. 😉

All designs represent my work and were done in Figma.

Bridge Talent Marketplace

Dashboard concept I designed for a demo at an HR Tech Conference. This high-fidelity prototype was presented to an audience of HR and Learning and Development professionals to gauge their appetite for talent mobility features in Bridge. The presentation was a huge success that resulted in several hundred new marketing and sales leads.

The Bridge Talent Marketplace home dashboard, greeting a user with career path, growth opportunity, and skill building cards alongside recommended roles, learning, and mentors.

Talent Marketplace home screen shown at the HR Tech demo.

Another screen from the HR Tech demo. Part of talent mobility is showing potential career paths for an employee.

A career path visualization showing a Database Architect role branching into future roles like Senior Database Architect, Lead Database Architect, and Data Scientist, each with a percentage of people who make that move.

Visualizing potential career paths for an employee.

Course management

The goal of this project was to give Learning and Development authors the ability to tag their courses with related and relevant industry skills. By doing this, learners in the Learning Management System (LMS) could receive recommendations suited to the skills they wanted to develop.

A course editor’s Associated Skills tab, showing a course tagged with skills like Active Listening, Customer Service, and Empathy, with related skills suggested alongside.

Tagging a course with related industry skills.

A branded Learning home page with a My Learning list of required courses and a Recommended to You panel, shown here before any recommendations have populated.

Learning recommendations based on skills. AI recommendations were the backbone of our Talent Mobility initiative.

A development plan screen with a Figma skill search returning a mix of real and placeholder course suggestions.

Building a development plan based on skills.

Job title normalization

Through interviews and research I discovered that HR admins spent hours and hours trying to corral all the different job titles in their organization. I designed a flow using AI that would take their existing job titles and make recommendations that matched industry standard job titles. This process resulted in hours of time saved for a Bridge admin and cleaner data for the organization.

A panel showing three potential industry job title matches for an admin’s custom title, with associated skills for the recommended match and an adopt action.

Matching a custom job title to an industry standard title.

Once a job title was adopted, it was also automatically assigned the most relevant job skills. This tied learning, mentors, and career paths to the employee to create a robust recommendation engine.

A confirmation banner reading job title has been adopted and 7 skills have been added to the skill profile, with the newly assigned skills listed below.

Skills automatically assigned after adopting an industry job title.

Skills management

I redesigned a completely new skills management view and workflow. The Quick View panel gave admins additional insights into how skills were being used.

A company wide Skills and Interests list with active, archived, and interest tabs, alongside a Skills Quick View panel showing a breakdown of active versus archived skills.

The redesigned skills management view, with the Quick View panel on the right.

Well, there we have it 😎

Was this visual format better, or would you have preferred the long-form case-study format? Please get a hold of me and let me know. Cheers!