11-Stage Living Intelligence Pipeline
How we extract product intelligence from your codebase + tickets + CRM + sales calls
Deep dive into our framework-aware analysis pipeline that transforms scattered data sources into comprehensive product intelligence. See how 11 stages process your living product document to drive prioritization decisions.
Built to transform product feedback into revenue with AI-powered intelligence
Complete Pipeline Breakdown
Every stage of our AI analysis process, from raw ideas to shippable specifications
Core Problem Analysis
Deep analysis of the core problem, user pain points, and market constraints
Persona Analysis
Generate detailed user personas with demographics, behaviors, and motivations
Jobs-to-be-Done
Map functional, emotional, and social jobs users are trying to accomplish
Use Case Extraction
Identify all primary flows, edge cases, and potential abuse scenarios
User Story Generation
Create 50-100 user stories with acceptance criteria and priorities
Schema Design
Generate database schemas, entity relationships, and data contracts
Pages Extraction
Identify all required pages, navigation flows, and user interface needs
Components Analysis
Break down UI into reusable components and interaction patterns
Story Enrichment
Add technical notes, dependencies, and integration requirements
Prototype Generation
Create interactive HTML prototypes with working navigation
Feedback Integration
Incorporate stakeholder feedback and refine all artifacts
Total Pipeline Time
Average completion time for comprehensive product specification
Pipeline Architecture
Advanced AI features that ensure quality and consistency
Parallel Processing
Multiple AI models work simultaneously for faster results
Context Preservation
Each stage maintains context from previous analysis
Quality Validation
Built-in quality checks ensure output consistency
Human-in-the-Loop
Strategic validation points for business alignment