Intelligence Analyst Course

Lesson 1 • The Intelligence Cycle Explained

Covers the six phases of the intelligence cycle from planning to dissemination. Establishes the operational context in which analysts produce and deliver finished intelligence.

Lesson 2 • Key Intelligence Terminology

Introduces standardized vocabulary used across the intelligence community. Ensures precise communication and reduces ambiguity in analytic products.

Lesson 3 • Types and Categories of Intelligence

Distinguishes strategic, operational, and tactical intelligence and their respective consumers. Grounds analysts in the scope and application of each intelligence type.

Lesson 1 • Evaluating Evidence Quality

Provides criteria for assessing the relevance, sufficiency, and reliability of evidence. Connects evidence evaluation to the construction of defensible analytic conclusions.

Lesson 2 • Assumption Identification and Challenging

Teaches methods for surfacing hidden assumptions embedded in analytic arguments. Strengthens analytic products by exposing and testing foundational beliefs.

Lesson 3 • Logic and Reasoning in Analysis

Introduces deductive, inductive, and abductive reasoning as tools for analytic argument construction. Provides the logical foundation for all subsequent structured analytic techniques.

Lesson 1 • Evaluating Source Reliability

Applies structured frameworks to rate source credibility and information accuracy. Directly supports sound analytic judgment by filtering unreliable inputs.

Lesson 2 • Collection Management and Requirements

Explains how intelligence requirements drive collection tasking and resource allocation. Connects analyst needs to the broader collection management process.

Lesson 3 • Overview of Collection Disciplines

Surveys HUMINT, SIGINT, IMINT, OSINT, and MASINT as distinct collection methods. Provides the foundation for understanding how raw information enters the analytic process.

Lesson 4 • Open-Source Intelligence Collection

Covers systematic OSINT collection from public records, media, and digital platforms. Builds practical skills for exploiting legally accessible information streams.

Lesson 1 • Contrarian and Challenge Techniques

Introduces devil's advocacy, red team analysis, and team A/B methods to stress-test conclusions. Protects analytic products from groupthink and premature closure.

Lesson 2 • Diagnostic Techniques for Complex Problems

Applies decomposition, chronologies, and link analysis to break down complex analytic problems. Enables analysts to organise large information sets into coherent structures.

Lesson 3 • Hypothesis Generation and Testing

Covers brainstorming, key assumptions check, and analysis of competing hypotheses (ACH). Builds the analyst's ability to generate and systematically test multiple explanations.

Lesson 4 • Introduction to Structured Analytic Techniques

Explains the purpose, classification, and selection criteria for SATs. Establishes why structured methods outperform intuitive analysis in complex environments.

Lesson 1 • Sourcing, Citations, and Confidence Language

Covers proper sourcing notation, confidence level language, and caveats in analytic products. Ensures consumers can accurately interpret the basis and certainty of analytic judgments.

Lesson 2 • Principles of Analytic Writing

Establishes the core principles of bottom-line-up-front writing, precision, and brevity. Directly shapes the quality and usability of all finished intelligence products.

Lesson 3 • Intelligence Product Formats

Surveys standard product types including assessments, briefs, warnings, and estimates. Analysts learn to match format to consumer need and time constraints.

Lesson 4 • Oral Briefing and Presentation Skills

Builds skills for delivering intelligence briefings to decision-makers under time pressure. Complements written products with effective verbal communication techniques.

Lesson 1 • Network Analysis Products and Reporting

Covers how to translate network analysis findings into actionable intelligence products. Connects technical analysis outputs to consumer-ready reporting formats.

Lesson 2 • Mapping Adversarial Organisations

Applies link analysis and association matrices to reconstruct organisational structures. Enables analysts to understand command relationships and operational roles within target groups.

Lesson 3 • Financial and Logistical Network Analysis

Extends network methods to financial flows, supply chains, and logistical support structures. Broadens targeting analysis beyond personnel to resource and support networks.

Lesson 4 • Key Node Identification and Prioritisation

Uses centrality metrics and criticality analysis to identify high-value nodes. Supports targeting decisions by distinguishing critical from peripheral network members.

Lesson 1 • Activity-Based Intelligence

Introduces activity-based intelligence (ABI) as a framework for fusing multi-source data around events. Advances geospatial analysis from static mapping to dynamic activity tracking.

Lesson 2 • Geospatial Products and Visualisation

Covers production of maps, overlays, and geospatial reports for intelligence consumers. Ensures analysts can communicate spatial findings clearly and accurately.

Lesson 3 • Pattern-of-Life Analysis Methods

Covers systematic methods for identifying routine behaviours, schedules, and anomalies from movement data. Enables analysts to build behavioural profiles and detect deviations.

Lesson 4 • Geospatial Intelligence Fundamentals

Introduces coordinate systems, map reading, and geospatial data types used in intelligence. Establishes the spatial literacy required for all geospatial analytic tasks.

Lesson 1 • Evaluating and Improving Analytic Products

Introduces post-mortem analysis, accuracy tracking, and lessons-learned processes for strategic products. Closes the analytic cycle by building continuous improvement into professional practice.

Lesson 2 • National Intelligence Estimate Production

Walks through the process of drafting, coordinating, and publishing a national-level estimate. Develops skills in multi-agency coordination, dissent notation, and senior-level writing.

Lesson 3 • Estimative Analysis Under Uncertainty

Applies probabilistic reasoning and structured uncertainty language to long-range assessments. Builds the analyst's capacity to make defensible judgments when evidence is incomplete.

Lesson 4 • Competitive and Adversary Strategy Analysis

Applies strategic frameworks to assess adversary intentions, capabilities, and decision-making. Enables analysts to anticipate strategic moves and identify exploitable vulnerabilities.