Designed an AI-powered workforce assistant that enabled frontline managers to schedule, staff, and manage their teams through natural language interactions. Partnering with Product and Engineering, I defined the product vision, interaction model, and responsible AI principles, demonstrating how generative AI could simplify complex workforce management while keeping humans in control.
My Role
Frontline managers spent much of their day switching between scheduling, attendance, staffing, and employee management tools. Existing workflows required navigating multiple systems and completing repetitive tasks, creating unnecessary cognitive load and slowing operational decision-making.
Reimagined workforce management around an AI-assisted experience. Instead of navigating complex interfaces, managers could complete everyday workforce tasks using natural language while maintaining full visibility, transparency, and decision-making control.
Defined the Product Vision
Defined a long-term vision for AI-assisted workforce management by identifying high-value workflows where AI could reduce effort while keeping managers in control.
Researched Customer Needs
Interviewed frontline managers to understand scheduling challenges, staffing decisions, and operational pain points best suited for AI assistance.
Designed AI-Assisted Workflows
Designed natural language workflows for scheduling, attendance, staffing recommendations, and employee support that simplified complex workforce management tasks.
Rapidly Prototyped Concepts
Built interactive prototypes to evaluate multiple AI interaction models, helping Product and Engineering validate concepts before development.
Validated with Customers
Conducted usability testing to refine recommendations, conversation flows, and interaction patterns while building trust in AI-assisted experiences.
Applied Responsible AI Principles
Designed AI experiences centered on transparency, explainability, and human oversight to ensure managers always retained final decision-making authority.
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Integrated a contextual AI assistant directly into the workforce management experience, enabling managers to identify exceptions, prioritize actions, and complete common workforce tasks through natural language without leaving their workflow.
Empowered managers with an AI assistant that answered workforce planning questions, surfaced scheduling insights, and recommended next actions using natural language while keeping managers in control of every decision.
Designed AI experiences that exposed reasoning, supporting evidence, and source attribution so managers could understand, verify, and confidently act on AI recommendations.
Created high-fidelity interactive prototypes to validate AI workflows with users, gather stakeholder feedback, and rapidly iterate on conversational experiences before development.
AI Strategy Established
Created a validated product vision that aligned Product, Engineering, and Design around future investments in enterprise AI.
Customer-Validated Concepts
Validated AI interaction models and workflow concepts before engineering investment, reducing delivery risk and improving product direction.
Reduced Cognitive Load
Simplified complex workforce management by replacing multi-step workflows with guided natural language interactions.
Foundation for Future AI
Established reusable AI interaction patterns and responsible design principles that informed future enterprise AI initiatives.