Our New York UX design process is built around evidence-based design, design system architecture, and the business metrics that determine whether design delivers ROI. User research methodology: (1) We start every engagement with research — not opinions. For NYC-based products, this means: contextual inquiry (observing real users in their actual work environment — a financial analyst at their Bloomberg Terminal setup, a physician between patient encounters, a warehouse manager on the fulfillment floor), usability testing with representative NYC users (5-8 participants recruited from the target demographic — not convenience samples of design interns), competitive UX audit (systematic analysis of how competing products handle the same user tasks — identifying UX advantages to preserve and UX problems competitors have that represent opportunities), and analytics review (existing products: heatmaps, session recordings, funnel analysis, and feature usage data to identify where users struggle before redesigning). Design system architecture: (1) For products with multiple surfaces (web application, mobile app, marketing site, internal tools), we build design systems that scale. Component library in Figma: atomic design methodology — design tokens (colors, typography, spacing, elevation), atoms (buttons, inputs, badges, icons), molecules (form fields, cards, list items, navigation items), organisms (headers, sidebars, data tables, modals), and templates (page layouts, dashboard layouts, form layouts). Each component includes: default, hover, active, disabled, error, and loading states. Responsive behavior documented. Accessibility specifications embedded (ARIA labels, focus order, keyboard interaction patterns). (2) Design-to-development handoff: we export design tokens as CSS custom properties and Tailwind configuration. Component specifications include exact spacing values, not "it looks about right." Developers receive Storybook documentation with component variants, not just static mockups that leave interaction behavior ambiguous. Conversion-focused methodology: (1) Every design decision maps to a measurable outcome. We define success metrics before design begins and measure them after launch. Typical NYC engagement metrics: SaaS — trial-to-paid conversion rate, time-to-value (first meaningful action), feature adoption rate, and NPS. Fintech — account opening completion rate, first transaction rate, and average transaction value. E-commerce — add-to-cart rate, checkout completion rate, and average order value. Healthcare — task completion rate, error rate, and time-on-task for clinical workflows. (2) We run A/B tests on critical design decisions. Not everything — testing minor copy changes is a waste of statistical power. But navigation structure, checkout flow, onboarding sequence, and pricing page layout are high-impact decisions that warrant controlled experiments with real user data.