Sprout Social | 2026
B2B SaaS
Product Design
Product Strategy
AI Design
AI Prototyping
UI Design
Project at a glance
ROLE
Lead Designer
TEAM
Product, Eng, Data Science, Design Leadership
TIMELINE
12 mo (intermittent)
Overview
When Sprout shifted toward an AI-driven product strategy, I led the design vision and strategy for integrating AI into Publishing’s core post creation workflows. My role required balancing long-term vision with immediate product execution. Across both types of work, I built AI prototypes to demonstrate reimagined workflows, test interaction patterns, and align the team.
Influencing the roadmap
I prototyped a reimagined, AI-first post creation workflow built around user goals, performance metrics, and repetitive tasks. This vision earned buy-in from the VP of Product and CPO, setting the direction for how AI could transform Publishing.
Partnering with data science
I worked with data science on model training, annotations, and feature validation for Sprout’s early predictive AI capabilities.
Balancing UX quality with token cost
When we shifted to immediate product execution, I advocated for contextual, inline UI actions over forcing every AI interaction into Trellis (Sprout’s conversational AI agent). This approach would provide users with quick, low-friction edits while protecting their token budget by reserving heavy chat workflows for deeper collaboration needs.
AI prototyping to drive alignment
In addition to vision prototypes, I built a functional web prototype using Claude Code and Sprout design system components. Testing real inline UI triggers alongside agent handoffs gave the team a concrete, interactive model to narrow in on balancing speed, cost, and usability.
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I wish I could show more!
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