Product Designer

Whitney

I lead design across discovery, prototyping, and delivery to help teams ship better products faster. My focus is simple: ship meaningful work fast, raise the quality bar, and tend experiences that last.

Previously
The Home Depot
3 Case Studies
7+ Years
40+ Products
Things I've Grown
Real work from 7+ years at The Home Depot, where I designed conversational AI, analytics tools, and design systems at enterprise scale. Each project started in ambiguity and ended with something people actually trust and use.
Conversational AI
Designing the Handoff Between AI and Humans
Owned the end-to-end chat experience on homedepot.com. Defined when the AI handles a query, when it escalates to a human, and what that transition feels like. Built dialog flows, error states, and fallback behaviors in Voiceflow. Later helped shape the interaction model for Magic Apron, Home Depot's generative AI shopping assistant, before the product had established patterns.
Voiceflow Dialog Design Generative AI Enterprise Scale
AI-Assisted Tooling
Making Customer Service Associates Faster with AI
Designed AI-assisted tools on Sprinklr that gave associates real-time conversation summaries and smart workflow suggestions. The goal wasn't to replace humans but to make them better. Reduced average handle time by approximately 25%.
Sprinklr AI Workflows Enterprise
Complex Data
Making Multi-Channel Data Legible and Actionable
Designed the Customer Communications Console, a real-time analytics dashboard for operations teams. Redesigned the information architecture and data visualization layer so teams could actually act on what they were seeing. Time-to-insight dropped from 12 minutes to under 3.
Data Viz Information Architecture Enterprise
The Gardener
I'm a product designer who believes the best digital experiences feel organic, not forced. Like a wildflower field, great design looks effortless but requires patience, intention, and a lot of dirt under your fingernails.
I'm especially energized by AI-native product work: conversational interfaces, agentic workflows, and the in-between moments where a model is thinking and a user is waiting. I've shipped products where capabilities change weekly, and I've learned to design systems that adapt without losing clarity. Now I'm looking for a team building at the frontier.
Now
Reading Thinking in Systems and Calm Technology.
Listening Garden Tunes on Spotify while designing.
Learning Digital archiving and offline LLMs for private-first AI.
Building Design-to-code workflows with Claude Code.
7+
Years in Product
40+
Products Shipped
150+
Designers Impacted
3
AI Products Shipped
How I Tend the Garden
01
Prepare the Soil
Research, interviews, competitive analysis. But also: what can the model actually do today? Where does it hallucinate? What breaks at scale? I use Claude and ChatGPT to stress-test capabilities before I design around them. You can't design for a capability you haven't broken yourself.
02
Plant the Seeds
Sketching, then fast explorations using v0, Variant UI, and Figma Make to generate more directions than I could alone. I prototype in code with Claude Code, Codex, and Copilot when fidelity matters early. Most seeds don't sprout. In AI that's doubly true. The judgment of what to pursue is still human.
03
Nurture and Prune
Test with real humans, not just prompts. Prototype the seams: loading states, error recovery, confidence signals, graceful fallbacks, and the moments where the AI says "I don't know." That's where trust is won or lost. Kill the darlings that don't survive contact with users.
04
Watch It Bloom
Ship, measure, learn, ship again. The model will improve next week. User expectations will shift next month. A launched AI product is never finished, it's just entering its next growing season. Design for the system to evolve, not just the feature to land.
Let's Grow Something
Building an AI product that needs to feel as good as it performs? I'm looking for a team where the design problems haven't been solved yet, and the soil is worth tending.