Project Case Study
Overview
FaceVee is a modern beauty and personal care e-commerce website created to make skincare, hair styling, beard care, and grooming products easy to discover and purchase. The website combines bold visuals, clear product information, promotional offers, customer reviews, and a smooth shopping experience. Its responsive and conversion-focused design reflects FaceVee’s mission of helping customers transform their look and feel more confident.
The previous site looked dated, loaded slowly, and required a developer for every change. The team needed a faster, on-brand experience they could maintain themselves — without sacrificing design quality or performance.
A custom build with a clean component system, an editor-friendly CMS, and a performance budget enforced from day one. Shipped on time, on brand, and built to scale with the business.
Process
Stakeholder interviews, competitive teardown, and a written brief that aligns scope, success metrics, and timeline before a single pixel is moved.
Information architecture, sitemap, content model, and a component inventory that maps every page to reusable, CMS-editable blocks.
Tokens for color, type, spacing, and motion. Editorial-grade layouts in Figma with full responsive specs and accessibility annotations.
Clean, semantic markup. Performance budget enforced from day one. Production CI, preview deploys, and a release checklist that ships with confidence.
Migration, redirects, analytics, training Loom library, and 30 days of post-launch monitoring with weekly performance reports.
Key Features
Image CDN, lazy hydration, critical CSS, and a strict performance budget enforced in CI.
Reusable blocks the team can rearrange and update without touching code or calling a developer.
WCAG AA across color, focus, and keyboard. Tested with screen readers, not just linters.
Semantic HTML, structured data, sitemap, OG metadata, and Core Web Vitals tuned in the green.
Production-grade architecture with typed APIs, error boundaries, and observability hooks.
Component-driven, fully typed, and documented so new features ship in days, not weeks.
Tech Stack
Results
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