Method
Method
Raven Intelligence produces non-speculative systems intelligence. The method is designed to surface structural constraint formation and cross-domain cascades before they become operationally obvious.
Outputs are evidence-backed, confidence-rated, and human-validated. The goal is clarity under uncertainty, not prediction.
Method Principles
- Constraints first: physical capacity, throughput, and resource limits precede narrative.
- Cross-domain mapping: interactions and propagation paths are treated as primary signals.
- Evidence hierarchy: preference is given to measurable constraints and operational indicators.
- Uncertainty is explicit: limits and unknowns are stated as first-class information.
- Human validation: no report is published without human review and integrity checks.
Evidence Handling
Evidence is prioritised in the following order:
- Physical constraints (capacity, throughput, energy, water)
- Infrastructure signals (build-outs, delays, chokepoints)
- Regulatory actions (export controls, formal rules)
- Operational indicators (routing, procurement, deployment)
- Statements or commentary (used sparingly)
How Reports Are Structured
Raven Intelligence reports follow a fixed structure:
- What Changed
- Why It Matters
- Where It Ripples
- Who It Touches
- Time Horizon
- Confidence
- Limits & Unknowns
What This Is Not
- Market research
- Financial analysis or investment advice
- Political commentary or advocacy
- Forecasting presented as certainty
- Operational or implementation guidance