Client Health Monitor

A professional performance-tracking platform built for high-stakes coaching and leadership oversight. This system automates client prioritization through predictive scoring logic and role-based data views.

🏗 Architecture & Tech Stack

• Framework: Next.js (App Router)
• Database & Auth: Supabase
• Logic Layer: Server-side sorting and predictive filtering.
• Client-side: Responsive, role-based dashboards.

📸 Dashboards

Coach Interface

Focused on tactical day-to-day management.

Logic: Sorted by Last Score (DESC), then Last Input Date (ASC) to surface overdue clients.

Leadership Interface

A strategic bird's-eye view of organizational health.

Logic: Categorized by client risk zones (Priority 1: Score ≤ 2).

🛠 Features & Implementation

Role-Based Prioritization

The core engine segments data based on the following functional constraints:

• Priority 1: Real-time filtering for clients with current or predictive scores ≤ 2.
• Priority 2: All active clients not currently in the "Red Zone."

Server-side Operations

• Migrations: Structured PostgreSQL schemas handled via Supabase CLI.
• Seeding: Comprehensive test seed scripts to simulate varied client health scenarios.
• Data Integrity: Row Level Security (RLS) policies ensuring data is partitioned by role and coach ID.

🚀 Local Development

1. Environment Configuration

Create a .env.local file with the following keys:

Key	Description
NEXT_PUBLIC_SUPABASE_URL	Your Supabase Project URL
NEXT_PUBLIC_SUPABASE_PUBLISHABLE_KEY	Your Supabase Publishable Key

2. Database Setup

# Apply migrations
supabase migration up