Research Methodology
Every claim in this research hub is backed by evidence. This page explains how we detect signals, analyze data, validate findings, and publish research across 22 domains with 223+ sources.
22
Active Domains
223+
Total Sources
155+
Validated Findings
Weekly
Refresh Cadence
4-Phase Research Process
From raw signal to published intelligence — how every research brief is created.
Signal Detection
Automated and manual scanning of primary research sources including academic papers, industry reports (Gartner, McKinsey, Forrester), vendor documentation, developer surveys, and regulatory filings.
- Monitor 50+ primary sources weekly across all domains
- Track funding rounds, product launches, and regulatory updates
- Identify emerging patterns through cross-domain signal correlation
- Flag contradictions between vendor claims and independent research
Deep Analysis
Multi-agent deep dives into promising signals with systematic extraction of quantitative data, qualitative insights, and strategic implications.
- Extract specific metrics: market size, adoption rates, performance benchmarks
- Map competitive landscapes with validated market share data
- Identify methodology limitations in cited research
- Cross-reference findings across minimum 2 independent sources
Validation & Rating
Every quantitative claim receives a confidence rating based on source quality, recency, and cross-reference count. Claims below threshold are flagged or excluded.
- High confidence: 2+ independent primary sources, recent data (< 6 months)
- Medium confidence: Single authoritative source or industry consensus
- Low confidence: Vendor-sourced data without independent verification — flagged
- Excluded: Unverifiable claims, outdated data (> 12 months), single-source vendor marketing
Publication & Schema
Synthesis into structured research briefs with TL;DR summaries, FAQ sections, JSON-LD schema markup, and SEO-optimized content for both human readers and AI citation engines.
- TechArticle + FAQPage JSON-LD for search engine and AI citation optimization
- Question-based section headers for Answer Engine Optimization (AEO)
- Internal cross-linking between related domains
- Continuous refresh cycle with lastUpdated timestamps
Quality Principles
The standards that govern what gets published and how claims are presented.
Specificity Over Generality
We cite exact numbers — "$29.3B valuation" not "large valuation." Every statistic includes its source and date.
Cross-Reference Everything
High-confidence claims require 2+ independent sources. Single-source claims are marked as such.
Vendor Skepticism
Vendor-sourced metrics (funding, user counts) are treated as claims, not facts. We seek independent verification.
Recency Matters
AI moves fast. Data older than 12 months is flagged. We prioritize 2026 sources over 2025 where available.
Source Hierarchy
Not all sources are weighted equally. Our evidence hierarchy prioritizes independent, primary research.
Domain Coverage
22 active research domains, each maintained with regular source validation and data refresh cycles.
Explore the Research
Dive into any of our 22 research domains. Every finding is cross-referenced and regularly updated.
Browse All Domains