My Process

From Problem to Pixel-Perfect Solution

Hey there! I'm glad you're curious about how I work. While my portfolio shows the shiny end results, this page pulls back the curtain on the messy, iterative, and ultimately rewarding process of solving real problems through design.

Phase 1: Understanding the Problem Space

Discovery & Research

Every project starts with questions, not answers. I begin by immersing myself in the problem space through:

Stakeholder interviews to understand business goals and constraints

User research to uncover real needs and pain points

Competitive analysis to identify opportunities and patterns

AI-Powered Content Analysis

Here's where I leverage modern tools to work smarter. I use AI to:

Analyze existing content for patterns and gaps

Extract key themes from user feedback at scale

Generate initial content inventories and audit reports

E.g. On a recent e-commerce redesign, I fed an entire website into GhatGPT to identify the top 10 friction points in the primary user flow—providing a starting point that would normally take a week or more to do without AI-assistance.

Phase 2: Making Sense of Chaos

Heuristic Evaluation

Before jumping to solutions, I conduct systematic heuristic analyses using:

Nielsen's 10 usability heuristics

Accessibility standards (WCAG 3.1)

Industry-specific best practices

Information Architecture

This is where my IA background shines. I create:

Content buckets that group related information logically

User flow diagrams showing key pathways

Sitemaps that visualize the entire information ecosystem

I'm a firm believer that good IA is invisible—users should find what they need without thinking about how it's organized.

Phase 3: Bringing Ideas to Life

Wireframing & Prototyping

I start low-fidelity to test concepts quickly:

Lo-fi wireframes to test information hierarchy

High-fidelity wireframes for design system work (Why make my UI partner’s life harder?)

Interactive prototypes for usability testing

Design System Thinking

I don't just design screens—I design systems. This means:

Creating reusable component libraries

Documenting interaction patterns

Establishing design tokens for consistency

This isn't just about efficiency (though it helps!). It's about creating experiences that feel cohesive across every touchpoint.

Phase 4: Collaboration & Refinement

Developer Partnership

Great design dies in poor handoffs. I work closely with developers by:

Co-creating during the design phase to ensure feasibility

Providing detailed specs with interaction states and edge cases

Participating in sprint planning to prioritize features effectively

Conducting design QA during implementation

Iterative Improvement

I believe in shipping to learn. Post-launch, I:

Monitor analytics and user feedback

Conduct usability testing on live products

Create optimization roadmaps based on data

What Makes My Process Different?

  • AI-Augmented, Human-Centered

    • I use AI as a power tool, not a replacement for human insight. It helps me process information faster so I can spend more time on creative problem-solving.

  • Systems Over Screens

    • I think in patterns and components, not just individual interfaces. This creates more scalable, maintainable solutions.

  • Collaborative by Design

    • I involve stakeholders, developers, and users throughout the process. The best solutions come from diverse perspectives.

  • Data-Informed, Not Data-Driven

    • Numbers tell part of the story, but I balance quantitative insights with qualitative understanding and design intuition.

Let's Work Together

If this resonates with how you approach design challenges, I'd love to chat. I'm always excited to learn about new problems to solve and teams to collaborate with.