What DEI metrics does the platform track?

The platform tracks representation by gender, ethnicity, age band, and disability status across levels, functions, and pay bands. Hiring, promotion, and attrition rates are shown by segment to surface systemic patterns.

Can I compare cohorts across time?

Yes. The cohort analysis tool lets you define any group (e.g., 2022 hires in engineering) and track their outcomes over time: retention rate, promotion rate, performance distribution, and engagement trends.

Where does the data come from?

The analytics platform consumes data from your HRMS, ATS, performance management, and engagement survey systems via API or CSV import. Describe your data sources in your prompt.

Business Operations

Build a HR Analytics & People Intelligence Platform with AI - in Hours

ProjectCode generates a complete, production-ready HR Analytics & People Intelligence Platform from a single natural language prompt. In hours instead of months, you get a React frontend, NestJS REST API, PostgreSQL database, and authentication - fully integrated, live-previewed, and deployed to a URL you own.

Estimated build time: 2–4 hours

Build my HR Analytics now View pricing

Free to start · No credit card required

The Challenge

Why building a HR Analytics from scratch is hard

Building a HR Analytics & People Intelligence Platform from scratch requires months of development time and significant engineering resources. Teams struggle to coordinate frontend, backend, database, and authentication while managing hr analytics-specific business logic, integrations, and role-based access rules.

What's Included

Everything your HR Analytics needs

ProjectCode generates a production-ready HR Analytics with all the modules your team needs from day one.

Headcount and attrition trend dashboards

Diversity, equity, and inclusion (DEI) metrics

Compensation band analysis and market benchmarking

Time-to-hire and cost-per-hire recruiting funnel analytics

Performance rating distribution and calibration reports

Absenteeism and overtime heat maps

Predictive attrition risk scoring per employee

Custom cohort analysis and segment comparison

Architecture

How it's built

The generated HR Analytics follows production-grade architecture patterns.

React 18 + TypeScript frontend with role-based dashboards tailored for hr analytics workflows

NestJS REST API with dedicated hr analytics modules, DTOs, validators, and service layer

PostgreSQL relational schema with normalized tables for all hr analytics entities

JWT + Google OAuth authentication with granular permission gates per role

Real-time Socket.IO events for live hr analytics status updates and notifications

Managed hosting with one-click deploy, custom domain, and auto-SSL

Database

PostgreSQL schema designed for HR Analytics

ProjectCode generates a normalized, indexed PostgreSQL schema with the right tables and relationships for your use case. You own the schema and can evolve it freely.

hr_snapshots (id, date, headcount, attrition_count, hires_count, entity_id)
compensation_records (id, employee_id, effective_date, base_salary, bonus, equity, band_min, band_max, currency)
dei_metrics (id, period, dimension, segment, count, percentage, workspace_id)
attrition_risk (id, employee_id, score, factors jsonb, predicted_at, is_actual_attrition, actual_date)

schema.sql (preview)

-- Generated by ProjectCode
-- HR Analytics & People Intelligence Platform schema

CREATE TABLE hr_snapshots__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

CREATE TABLE compensation_records__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

CREATE TABLE dei_metrics__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

CREATE TABLE attrition_risk__id (
  id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
  created_at TIMESTAMPTZ DEFAULT NOW(),
  updated_at TIMESTAMPTZ DEFAULT NOW()
  -- ... auto-generated columns
);

Tech Stack

Production-ready from day one

Every generated app uses a battle-tested stack you can deploy anywhere and own completely.

Frontend

React 18 + TypeScript + Tailwind CSS

Backend

NestJS 10 + Node.js + TypeScript

Database

PostgreSQL (managed or Supabase)

Auth

Email OTP · Google OAuth · GitHub OAuth

Deployment

Managed hosting · Custom domain · Auto-SSL

AI Models

Claude Sonnet · Claude Opus · Kimi

Try It Now

Example prompt to get started

Copy this prompt into ProjectCode and get a working app in minutes.

ProjectCode prompt

Build an HR analytics platform for a people analytics team at a 2,000-person company. Include headcount and attrition dashboards by department and location, DEI representation metrics by level and function, compensation band analysis with market benchmarking, recruiting funnel analytics with time-to-hire, performance rating distribution, predictive attrition risk scores for at-risk employees, and custom cohort comparison tools.

Build this now - it's free

Deployment

Deploy your HR Analytics anywhere

Managed hosting

One-click deploy to a live URL managed by ProjectCode.

Custom domain

Connect your own domain with auto-provisioned SSL via Cloudflare.

GitHub export

Push to your GitHub repo and self-host or deploy via Vercel, Railway, or AWS.

Docker ready

Export a Dockerfile and docker-compose for any containerized environment.

Pricing

Start free, scale as you grow

No per-seat fees. No vendor lock-in. Token-based pricing that scales with your usage.

Free

Start building your first app. Live preview, managed hosting, and full code export included.

Token Packs

From $5

Purchase token packs that roll over every month. Build more, pay only for what you use.

Enterprise

Custom

Custom models, SLA, SSO, and private cloud deployment for large teams.

See full pricing details

FAQ

Common questions about building a HR Analytics

The model trains on historical employee features (tenure, compensation relative to band, engagement score, performance trend, manager changes) and predicts churn probability. High-risk employees are surfaced for proactive retention discussions.

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Build your HR Analytics in hours, not months

Start free. No credit card. Your first app is live in minutes.

Get started free