• Defined product vision and design strategy for Nisa, an applied AI ecosystem supporting complex, relationship-driven workflows for K–12 instructional coaching
• Led product discovery and synthesis to translate real-world user behavior, longitudinal workflows, and context switching into clear product direction
• Established human-judgment-first AI design principles and interaction patterns, emphasizing trust, editability, and restraint
• Designed and shipped core AI-supported workflows, including synthesis, feedback, planning artifacts, and professional communication
• Built an AI-forward design foundation across product UX, brand, and system language to support rapid iteration with coherence
• Owned end-to-end design execution, from rapid prototyping through pilot-ready delivery with product and engineering partners
• Shaped product narrative and growth-facing surfaces, including onboarding, website evolution, and launch-adjacent content
Nisa is an applied AI ecosystem designed to support complex human work over time, serving K–12 teachers, instructional coaches, and school leaders by helping them carry context forward, reduce cognitive load, and act with confidence.
As founding design lead, I own product design, experience strategy, and narrative direction from concept through pilot, partnering closely with product and engineering to shape roadmap decisions and delivery.