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.

Key Takeaway

Successful AI experiences require more than powerful algorithms they require transparency, clear expectations, and interfaces that help users confidently act on machine-generated insights.

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