Designing Trustworthy AI Experiences for Enterprise Change Management
The Project: Reinvention Navigator is an AI-powered SaaS platform designed to help leaders make data-driven decisions during organizational change. The project focused on improving how users navigate and interpret the platform’s insights to better support end-to-end change management efforts.
My Role: Led product design and UX research. After contributing early workflows and prototypes in Figma, I established a research framework that uncovered barriers related to AI transparency, onboarding, and decision fatigue.
Our Approach:
Partnered with product leaders, engineers, and customer experience teams to align on business goals and define six priority product areas.
Designed task-based research scenarios that evaluated how users interpreted AI recommendations and completed critical workflows.
Conducted moderated sessions with Change Practitioners and Change Leaders to uncover onboarding challenges, trust barriers, and workflow friction.
Synthesized more than 100 observations and insights to identify patterns and prioritize opportunities.
Results & Impact
Delivered prioritized recommendations that directly informed the product backlog and future releases.
Improved onboarding and early-user adoption by simplifying workflows and reducing ambiguity.
Helped shift product strategy from optimizing for experienced users to designing for accessibility, trust, and immediate usability.
Embedded research into product development processes, enabling faster, evidence-based decision making.