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:
- Scrapes and deeply analyzes every site
- Extracts features, UI patterns, pricing models, and UX decisions
- Cross-references findings against ITPP products (IntelSight, HotNow, VerdictTank, TransitPin, VentureBuilt, DRE)
- Identifies new product opportunities from common themes
- 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 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