Meta: Gen AI For Growth
I worked on the Growth team and collaborated with a cross-functional team to explore how generative AI could enhance user engagement and streamline interactions across multiple surfaces. My focus was on defining and validating experiences that aligned with both user needs and business objectives. Please note: this is a confidential project — details generalized due to NDA
My role: UX Designer and Researcher
Output: Defined and delivered end-to-end design for a generative AI-powered user experience, including research synthesis, interaction models, and multi-surface wireframes.
Duration: 3 months
My Contributions
User Research & Validation
Conducted user interviews and heuristic evaluations to ensure AI solutions aligned with mental models and expectations around trust, transparency, and utility.
Insight: Users were more receptive to AI when its purpose and limitations were clearly communicated.
Collaborative Strategy & Definition
Led design-thinking and working sessions with PMs, engineers, and data scientists to shape the vision and product requirements for AI-powered features across the growth funnel.
Outcome: Clear definition of high-impact opportunities and design direction aligned with strategic goals.
Applied principles of NLP and conversational design to prototype interactions that felt intuitive and responsive, reducing friction between user intent and system response.
Result: Increased task completion and positive user sentiment in prototype testing.
Interaction Design for Natural Language Interfaces
End-to-End Experience Design
Created responsive wireframes and design specs for surfaces including web, mobile, notifications, email, and external ad touchpoints.
Delivered: a cohesive, branded experience across multiple channels.
