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Full Technical Teardown: Metro-City Diagnostics Build

How we engineered a sub-second Next.js 15 diagnostic booking portal featuring dynamic test search, automated WhatsApp intake, and 100/100 Core Web Vitals.

Locallify Engineering
2026-07-14
8 min read

## The Problem Statement

Metro-City Diagnostics needed a modern digital storefront capable of handling 500+ diagnostic test search queries, instant booking requests, and test-prep instruction guides without relying on slow third-party aggregators.

Core Metrics Achieved

  • **Lighthouse Performance Score**: 100/100 Mobile
  • **Largest Contentful Paint (LCP)**: 0.8s
  • **Direct Bookings Growth**: +180% in 45 days
  • **Search Impressions Increase**: +320% on local diagnostic terms

Architectural Stack

  • **Framework**: Next.js 15 (App Router)
  • **Styling**: Tailwind CSS 4 with custom CSS Variable Design System ("Voltage")
  • **Hosting**: Vercel Edge Serverless Deployment
  • **Schema Layer**: Custom `DiagnosticLab` + `MedicalTest` JSON-LD schema generators

```json { "@context": "https://schema.org", "@type": "DiagnosticLab", "name": "Metro-City Diagnostics", "availableTest": [ { "@type": "MedicalTest", "name": "Complete Blood Count (CBC)", "code": { "@type": "MedicalCode", "code": "58410-2", "codingSystem": "LOINC" } } ] } ```

Key Technical Breakthroughs

  • **Instant Client-Side Fuzzy Search**: Pre-built static indexing for all 500+ diagnostic tests allows zero-latency filtering without API round-trips.
  • **WhatsApp Native Intake Workflow**: Pre-fills patient test selections directly into WhatsApp concierge for immediate confirmation without form drop-off.

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