Research Methodology
Saudi Intel employs a structured analytical framework combining open-source intelligence (OSINT), quantitative modeling, and qualitative expert assessment to produce actionable intelligence on Saudi Arabia’s strategic trajectory.
Source Hierarchy
Our intelligence assessments draw from a tiered source hierarchy. Primary sources include official Saudi government publications, Royal Decrees, Council of Ministers statements, Saudi Arabian Monetary Authority (SAMA) data, and General Authority for Statistics releases. Secondary sources encompass international organization data from the IMF, World Bank, SIPRI, and IISS, supplemented by defense trade registries and energy market data from OPEC, IEA, and the EIA.
Analytical Framework
Each assessment undergoes a structured analytical process. We employ Analysis of Competing Hypotheses (ACH) for geopolitical scenarios, quantitative modeling for defense spending projections, and scenario-based planning frameworks for energy policy analysis. All published assessments include confidence levels and explicit identification of key assumptions.
Verification Protocol
All data points are independently verified through a minimum of two authoritative sources before publication. Where single-source reporting is necessary, this is explicitly flagged with appropriate confidence caveats. Statistical data undergoes cross-referencing against multiple international databases to ensure accuracy.
Update Cadence
Indicator data is reviewed and updated on a weekly cycle. Long-form analytical assessments are published on a rolling basis as events warrant, with comprehensive sector reviews conducted quarterly. Historical data series are maintained and corrected as revised figures become available from official statistical agencies.
Limitations
Saudi Intel acknowledges the inherent challenges of analyzing a political system with limited transparency. Where information gaps exist, we identify them explicitly rather than speculating. Our assessments represent informed analytical judgments, not predictions, and should be read as probability-weighted scenarios rather than definitive forecasts.
For questions about our methodology, contact us at methodology@saudiintel.com.