Six dimensions. One cascade chain. A complete picture.
The 6D Foraging Methodology™ maps how disruption propagates across six interconnected dimensions. Each is scored independently. The cascade chain reveals sequence, severity, and downstream exposure.
Formally specified as CAL · Full research at 6d.cormorantforaging.dev
Every analysis activates all six simultaneously
Customer Dimension
How the event reshapes the customer relationship — contracts, switching behavior, expectations, and perceived value.
Employee Dimension
Workforce dynamics — talent retention, capability gaps, institutional knowledge drain, and cultural shift.
Revenue Dimension
Financial architecture impact — pricing models, recurring revenue, margin compression, and investor signals.
Regulatory Dimension
Government, compliance, and oversight dynamics — existing mandates, new scrutiny, and enforcement uncertainty.
Quality Dimension
Product, content, or service quality implications — creative contraction, technical debt, and output degradation.
Operational Dimension
Infrastructure and process resilience — reorgs, system dependencies, integration complexity, and parallel risk.
Each analysis produces a FETCH score (aggregate severity across active dimensions), a cascade chain (origin → L1 → L2 sequence), and a DRIFT score (distance between current trajectory and optimal position). The scoring system calibrates against the growing case library.
8 stages · 10–40 sources per case · Days to delivery
Every case follows the same pipeline. Every stage is auditable.
Event Identification
A qualifying business event must meet threshold criteria: material market impact, multi-stakeholder exposure, or cross-sector cascade potential. Not every headline qualifies — only events that propagate across multiple dimensions simultaneously.
Source Corpus Assembly
Primary, secondary, and tertiary sources gathered before analysis begins. Source quality is weighted in scoring — an SEC filing carries more weight than a trade press mention. All sources numbered and cited.
Dimensional Decomposition
All six dimensions activated simultaneously — not sequentially. Each receives independent analysis before cross-dimensional correlation begins. This parallel activation surfaces interactions that sequential analysis misses.
Signal Extraction
Within each dimension, signals are extracted and categorized. Each signal tied to a source citation. Absence signals — what an organization is conspicuously not saying — are treated as data.
FETCH Scoring
Each dimension receives an independent severity score (0–10). The aggregate FETCH score is a weighted composite reflecting severity and source confidence. Scores calibrate against the full case library — a 7.4 means something specific relative to every prior analysis.
Illustrative scores shown
Cascade Chain Mapping
The origin dimension — where disruption first entered the system — is identified. First-order effects (L1) and second-order consequences (L2) are mapped, including cross-dimensional amplification nodes. This sequence is often the most surprising finding for strategy teams.
DRIFT Analysis
DRIFT measures the gap between what an organization states publicly and what the dimensional signals reveal. A high DRIFT score indicates strategic misrepresentation, institutional blind spots, or a management team that has lost the thread of its own cascade. Often the most actionable finding.
“Integration on track. Quality investments accelerating. Best content still ahead.”
D5 quality score: 8.5 · 17,000 jobs cut · Content volume declining · Development slate contracting
Synthesis & Publication
Scores, cascade chain, DRIFT assessment, and source citations synthesized into a structured case study. The executive summary distills key findings for fast consumption. Every claim traceable to a numbered source.
The 6D Foraging Methodology synthesizes principles from Systems Dynamics (MIT/Forrester), Complexity Theory (Santa Fe Institute), Strategic Foresight (Shell/RAND), and Wardley Mapping — redesigned for AI-native execution speed. What those frameworks model manually and periodically, 6D models computationally and continuously.
The methodology behind this pipeline is formally specified as CAL (Cascade Analysis Language) — a deterministic, executable language with published Zenodo DOIs. Every formula, scoring threshold, and cascade rule is versioned and testable. This isn't opinion-based consulting — it's an auditable, reproducible analytical framework. Learn more about CAL →
Full research documentation: 6d.cormorantforaging.dev →