Customer Context
Getting close enough to a workflow to understand what people are actually trying to decide, fix, or move forward.
- Discovery through real examples
- Process maps and edge cases
- Clear success criteria
BACKGROUND
Customer workflows, AI tools, and useful interfaces.
A little more context on the kinds of problems I enjoy working through: messy processes, practical prototypes, and technical tools that earn trust.
Things I Keep Coming Back To
Project Sketches
Quick prototypes that turn an idea into something clickable enough to critique.
- Static HTML experiments
- Simple interactions
- Fictional data models
Workflow Thinking
Breaking messy processes into visible steps so they are easier to reason about.
- Before and after states
- Handoffs and checkpoints
- Review moments
Applied AI
Using AI as a drafting, review, and acceleration layer, especially when the human judgment stays visible.
- Summarization patterns
- Human review loops
- Prototype interfaces
How I Think About Tools
01
Make the real workflow visible. Good tools respect the steps people are already taking.
02
Prototype close to the problem. The fastest useful version should make tradeoffs, gaps, and next questions easier to see.
03
Design for trust. People need to know what changed, why it changed, and where their judgment still matters.