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Structured Analytic Techniques for Intelligence Analysis
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Structured Analytic Techniques for Intelligence Analysis

Third Edition

Foreword by John McLaughlin



December 2019 | 384 pages | CQ Press
“Excellent publication for the study of intelligence analysis, structured analytical techniques and their application in this increasingly dangerous environment. A must read for anyone entering the intelligence community as an analyst, practitioner, stakeholder and leader.”
—Charles E. Wilson, University of Detroit Mercy

 
The Third Edition of Structured Analytic Techniques for Intelligence Analysis showcases sixty-six structured analytic techniques—nine new to this edition—that represent the most current best practices in intelligence, law enforcement, homeland security, and business analysis. With more depth, detail, and utility than existing handbooks, each technique is clearly and systematically explained. Logically organized and richly illustrated, and with spiral binding and tabs that separate techniques into categories, this book is an easy-to-use, comprehensive reference.
 




 
Figures
 
Foreword by John McLaughlin
 
Preface
 
Chapter 1 • Introduction and Overview
1.1 Our Vision

 
1.2 Role of Structured Analytic Techniques

 
1.3 History of Structured Analytic Techniques

 
1.4 The Expanding Use of Structured Analytic Techniques

 
1.5 Selection of Techniques for This Book

 
1.6 Quick Overview of Chapters

 
 
Chapter 2 • The Role of Structured Techniques
2.1 Two Types of Thinking

 
2.2 Developing a Taxonomy of Structured Analytic Techniques

 
2.3 Dealing with Cognitive Limitations

 
2.4 Matching Cognitive Limitations to Structured Techniques

 
2.5 Combating Digital Disinformation

 
 
Chapter 3 • Choosing the Right Technique
3.1 The Six Families

 
3.2 Core Techniques

 
3.3 Selecting the Right Technique

 
3.4 Projects Using Multiple Techniques

 
3.5 Common Errors in Selecting Techniques

 
3.6 Making a Habit of Using Structured Techniques

 
 
Chapter 4 • Practitioner’s Guide to Collaboration
4.1 Social Networks and Analytic Teams

 
4.2 Dividing the Work

 
4.3 Value of Collaborative Processes

 
4.4 Common Pitfalls with Small Groups

 
4.5 Benefiting from Diversity

 
4.6 Advocacy versus Objective Inquiry

 
4.7 Leadership and Training

 
 
Chapter 5 • Getting Organized
5.1 Sorting

 
5.2 Ranking, Scoring, and Prioritizing

 
5.3 Matrices

 
5.4 Process Maps

 
5.5 Gantt Charts

 
 
Chapter 6 • Exploration Techniques
6.1 Simple Brainstorming

 
6.2 Cluster Brainstorming

 
6.3 Nominal Group Technique

 
6.4 Circleboarding™

 
6.5 Starbursting

 
6.6 Mind Maps and Concept Maps

 
6.7 Venn Analysis

 
6.8 Network Analysis

 
 
Chapter 7 • Diagnostic Techniques
7.1 Key Assumptions Check

 
7.2 Chronologies and Timelines

 
7.3 Cross-Impact Matrix

 
7.4 Multiple Hypothesis Generation

 
7.5 Diagnostic Reasoning

 
7.6 Analysis of Competing Hypotheses

 
7.7 Inconsistencies Finder™

 
7.8 Deception Detection

 
7.9 Argument Mapping

 
 
Chapter 8 • Reframing Techniques
8.1 Cause and Effect Techniques

 
8.2 Challenge Analysis Techniques

 
8.3 Conflict Management Techniques

 
 
Chapter 9 • Foresight Techniques
9.1 Key Drivers Generation™

 
9.2 Key Uncertainties Finder™

 
9.3 Reversing Assumptions

 
9.4 Simple Scenarios

 
9.5 Cone of Plausibility

 
9.6 Alternative Futures Analysis

 
9.7 Multiple Scenarios Generation

 
9.8 Morphological Analysis

 
9.9 Counterfactual Reasoning

 
9.10 Analysis by Contrasting Narratives

 
9.11 Indicators Generation, Validation, and Evaluation

 
 
Chapter 10 • Decision Support Techniques
10.1 Opportunities Incubator™

 
10.2 Bowtie Analysis

 
10.3 Impact Matrix

 
10.4 SWOT Analysis

 
10.5 Critical Path Analysis

 
10.6 Decision Trees

 
10.7 Decision Matrix

 
10.8 Force Field Analysis

 
10.9 Pros-Cons-Faults-and-Fixes

 
10.10 Complexity Manager

 
 
Chapter 11 • The Future of Structured Analytic Techniques
11.1 Limits of Empirical Analysis

 
11.2 Purpose of Structured Techniques

 
11.3 Projecting the Trajectory of Structured Techniques

 
11.4 Role of Structured Techniques in 2030

 
Key features
NEW TO THIS EDITION:
  • Nine new techniques—Analysis by Contrasting Narratives, Counterfactual Reasoning, Bowtie Analysis, Critical Path Analysis, Inconsistencies Finder™, Key Uncertainties Finder™, Key Drivers Generation™, Reversing Assumptions, and Opportunities Incubator™—have been added to improve the quality and impact of the reader’s analysis 

  • New strategies for combatting digital disinformation such as fake news prepare readers for emerging concerns in intelligence analysis. 

  • Two new graphics showcasing how to select the right technique illustrate helpful advice on which techniques are most appropriate for a specific analytic task and a timeline showing when to apply the technique.

  • A reorganization of the techniques into six families that track the analytic production process make it easier for analysts to quickly find the technique he/she would like to use.  

  • All links are live and new references have been added that analysts can use to find software products and background materials relating to a particular technique.

KEY FEATURES:

 

  • 66 structured techniques provide readers with the best practices in intelligence, law enforcement, homeland security, and business analysis. 

  • Spiral binding and tabs separate techniques into families, making it easy for readers to quickly reference the technique he/she would like to use. 

  • Each technique is clearly and systematically explained: when to use it, the value added, the method, potential pitfalls, its relationship to other techniques, its origins, and examples of how it can be used. 

  • Lists of the best techniques for mitigating the impact of cognitive biases, missapplied heuristics, and intuitive traps are included. 
 

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