A Churn Analytics Platform Built from a Paragraph
The Challenge
Predicting customer churn before it happens requires:
- Real-time data ingestion from multiple sources (Stripe, product analytics, support tickets)
- AI-powered risk scoring with configurable thresholds
- Automated retention campaigns triggered by behavioral signals
- Multi-tenant architecture with role-based access (Owner, Admin, Analyst, Viewer)
- Cohort analysis, MRR tracking, and customer health dashboards
This is the kind of project where the architecture decisions matter more than the code. Get the data model wrong, and every downstream feature breaks. Traditional planning for this scope takes 3-4 weeks with a senior product team.
OmniRoles did it in minutes.
The Input
"Multi-tenant customer retention and churn analytics SaaS for subscription businesses. AI-scored churn risk per customer based on usage patterns, payment failures, and engagement decline. Automated retention campaigns triggered by risk thresholds. Stripe integration. Customer health dashboards with cohort analysis."
What OmniRoles Generated
6 Enterprise Documents
- Product Requirements Document (PRD)
- Functional Requirements Document (FRD)
- UX Specification (UXSMD)
- Database Architecture (DRD) — with Prisma schema
- Business Requirements Document (BRD)
- UX Data Map (UXDMD)
62 User Stories
Domain-specific stories that show deep understanding of churn analytics. Example: "As an analyst, I want to define custom churn risk thresholds so that alerts trigger when health scores cross my defined boundaries"
147 API Endpoint Contracts
Including complex integrations like batch churn predictions, real-time Stripe webhooks, and automated campaign execution endpoints.
Complete Database Architecture
Multi-tenant PostgreSQL schema with Prisma ORM, customer health score calculation engine, and cohort analysis materialized views.
Why This Project Stands Out
RetainIQ isn't a CRUD app. It's a data-intensive platform with:
- AI inference: Churn prediction models that process customer behavior data
- Real-time processing: Stripe webhooks that update customer health scores instantly
- Complex domain logic: Cohort analysis, retention curves, MRR calculations
- Multi-tenant isolation: Each subscription business sees only their data
This is the kind of project where junior developers spend weeks just understanding the domain. OmniRoles captured the entire domain model from a paragraph.
The Math
| Metric | Traditional | OmniRoles |
|---|---|---|
| Planning time | 3-4 weeks | Under 10 minutes |
| Cost | $20,000-$35,000 | One generation credit |
| Documents | 2-3 (if you're lucky) | 6 comprehensive |
| API contracts | Usually "we'll figure it out" | 147, fully specified |
| Sprint backlog | Weeks of grooming | Ready to execute |