Key takeaways

GENERATIVE AI

I wanted to leverage generative AI in Workday to help their audience effortlessly craft hyper-personalized career paths and development goals by evolving their machine-learning models with explicit data and envisioning more features to also include implicit and holistic data into their algorithms.

DATA VISUALIZATION

This project showcases ways I could visualize job data information and progression tree patterns.

Career exploration user research

SUMMARY

My team and I tested low-fidelity concepts of a Career Path Builder, Career Assessment, and a Vision Board with our target audience of entry-level to mid-level employees between the ages of 21-41. Participants enjoyed building Career Paths the most because they liked the feeling of empowerment from seeing and understanding different growth trajectories in their career. The Career Assessment and Vision Board had some value but participants wanted those aspects integrated into the Career Path Builder experience.

KEY INSIGHTS

Casual Usage
Participants enjoyed the casual, “shopping-like” experience, of making a career path.

Empowerment
Participants felt empowered because they didn’t know how their careers could progress and they liked seeing, understanding, and planning possible futures at their companies.

Holistic Data Model
When thinking about their career, users want it to align with their values, passions, and interests to be happy in their companies.

Holistic career algorithm

Workday’s algorithm for career suggestions is primarily based on explicit skills provided in a user’s profile. Since our target audience wants their careers to align with more holistic data, Workday needed to update their machine-learning algorithm for career suggestions to include data points like a user’s values, motivations, and aspirations.

Career path builder v1 design

These mocks are the initial version of Workday’s Career Pathing tool, where it’s using their current tech stack and machine-learning algorithm in a step-by-step experience. The career pathing data gathered from this release would help grow Workday’s career pathing data to support and build towards use cases for generative AI career paths.

Career exploration generative AI future vision

These designs demonstrate a career pathing experience that leverage generative AI to create career paths from a user's current role.

Conclusion

The research and product vision I crafted with my team helped construct a long-term plan for Career Exploration and Planning in Workday to increase casual usage by leveraging holistic data models and generative AI.