# Competitive Landscape Research Pipeline

Systematic competitive analysis pipeline — scrape target sites, extract features, cross-reference against ITPP products, and identify new product opportunities. Designed as a repeatable research operation.

**Status:** LIVE  
**Owner:** Germaine Brown / Sho'Nuff  
**Created:** 2026-08-10  

## Access

| Resource | URL | Access |
|---|---|---|
| Git Repo | https://git.itpropartner.com/ippadmin/competitive-landscape-research | ippadmin (read/write) |
| AI Costs | admin-ai key: `competitive-research-prod` | TBD |

## Purpose

When Germaine identifies a batch of competitor/adjacent sites, this pipeline:
1. Scrapes and deeply analyzes every site
2. Extracts features, UI patterns, pricing models, and UX decisions
3. Cross-references findings against ITPP products (IntelSight, HotNow, VerdictTank, TransitPin, VentureBuilt, DRE)
4. Identifies new product opportunities from common themes
5. Produces a structured, searchable report

## Pipeline Architecture

```
Research Batch (user provides URLs)
    │
    ├─ Team Alpha (3-7 sites) ──┐
    ├─ Team Bravo (3-7 sites) ──┤ Parallel scraping + analysis
    └─ Team Charlie (3-7 sites)─┘
    │
    ▼
Integration & Synthesis (master report)
    │
    ├─ Feature Extraction Matrix
    ├─ Product Enhancement Recommendations
    ├─ New Product Opportunities
    └─ Risk Flags & Cost Summary
```

## Research Batches

| Batch ID | Date | Sites | Researchers | Products Analyzed | Report |
|---|---|---|---|---|---|
| 001 | 2026-08-10 | 20 sites | Alpha, Bravo, Charlie | 6 products | research/001-aug10.md |

## Methodology

See [METHODOLOGY.md](METHODOLOGY.md) for the full research protocol.

Key principles:
- Every site gets a full page extraction + browser inspection
- Features are rated on replicability and mapped to specific ITPP products
- New product ideas must cite which sites inspired them
- AI costs tracked per-research-batch via dedicated LiteLLM key