Tradecraft Standards of Analytic Production

Course Description:

When analysts don't share a common understanding of what good analysis looks like — what counts as rigorous sourcing, how to handle uncertainty, what makes a product relevant versus merely thorough — standards drift. Every analyst develops their own private interpretation of "good enough." Reviews become subjective. Feedback becomes inconsistent. And quality becomes whatever the most senior person in the room thinks it is that day.

This course builds the common foundation.

What This Course Covers

Most tradecraft training focuses on one community's standards — typically American. This course goes further. We examine the analytic standards of the US, UK, and Canadian intelligence communities side by side, identify where they converge, where they differ, and what the underlying principles are that make them work.

That comparative approach matters for two reasons. First, many analysts work in environments that draw from more than one tradition. Second, understanding why a standard exists makes it far easier to apply — and to adapt — than memorizing a checklist.

This course helps intelligence analysts understand the key standards and expectations for producing high-quality analysis, and helps supervisors set clear expectations for their team’s intelligence outputs. We explore the analytic standards of the US, UK, and Canadian intelligence communities and offer clear, practical guidance on how to both think of these standards in analytic design, apply them to analytic production, and establish them in your organisation.

What You'll Learn

By the end of this course, you'll be able to:

• Articulate the core analytic standards of the US, UK, and Canadian intelligence communities and the principles behind them

• Apply standards for objectivity, clarity, sourcing, and argumentation to your own analytic work

• Handle uncertainty, evidence, and assumptions rigorously and transparently

• Evaluate intelligence products critically for adherence to analytic standards — your own and others'

• Adapt these standards to your specific organizational context, whether public or private sector

• Set clear, defensible expectations for analytic quality on your team

Course Outline:

Day 1:

• Introduction to analytic standards

• Relevance

• Consistency

• Timeliness

Day 2:

• Objectivity and Independence

• Accuracy

• Logic and Argumentation

Day 3:

• Uncertainty

• Distinctions

• Sourcing

Day 4:

• Rigour

• Structured Analytic Techniques

• Alternatives

• Comprehensiveness

Day 5:

• Practical Exercise