AI Wellness Snapshot

Helping managers spot burnout before it turns into turnover

Project

AI Wellness Snapshot

Built in just 48 hours during a hackathon, this AI-powered prototype helps managers proactively support employees showing signs of fatigue or burnout. I led the UX effort—collaborating closely with engineers and data scientists to turn workforce signals into helpful, human-centered guidance.

48 Hours Hackathon

A fast-paced tech innovation hackathon hosted by UKG, in partnership with Google and MongoDB. Teams have just two days to form, design, and build a working product or feature. Each team includes product managers, engineers, and UX designers, working together to pitch an innovative, feasible idea that could be added to the company’s quarterly roadmap.

The Challenge

Managers often miss early signs of employee burnout until it’s too late. We needed to design a tool that makes invisible issues visible—surfacing well-being insights and delivering clear, actionable recommendations that fit naturally into a manager’s workflow.

Insight to Interface

We started by identifying high-risk burnout indicators from workforce data—absenteeism, schedule patterns, and performance dips. I worked with data scientists to translate these signals into a real-time employee insight card.

AI-Driven Support Suggestions

With help from the AI team, we layered smart recommendations—such as adjusting schedules, delegating tasks, or triggering 1:1s. The goal: make the system feel less like a dashboard, and more like a coach.

Rapid Prototyping & Engineer Sync

We collaborated in real time with front-end devs to prototype a fully working mobile interface. From welcome notifications to employee history and next steps, every interaction had to feel personal, fast, and easy to act on.