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Index
Title
Copyright
Contents
Figures
Foreword by John McLaughlin
Preface
1. Introduction and Overview
1.1 Our Vision
1.2 The Value of Team Analysis
1.3 The Analyst’s Task
1.4 History of Structured Analytic Techniques
1.5 What’s in This Book?
1.6 Agenda for the Future
2. Building a Taxonomy
2.1 Four Categories of Analytic Methods
2.2 Taxonomy of Structured Analytic Techniques
3. Criteria for Selecting Structured Techniques
3.1 Selection of Techniques for This Book
3.2 Techniques Every Analyst Should Master
3.3 Common Errors in Selecting Techniques
3.4 One Project, Multiple Techniques
3.5 Structured Technique Selection Guide
4. Decomposition and Visualization
4.1 Getting Started Checklist
4.2 Customer Checklist
4.3 Issue Redefinition
4.4 Chronologies and Timelines
4.5 Sorting
4.6 Ranking, Scoring, Prioritizing
4.7 Matrices
4.8 Network Analysis
4.9 Mind Maps and Concept Maps
4.10 Process Maps and Gantt Charts
5. Idea Generation
5.1 Structured Brainstorming
5.2 Virtual Brainstorming
5.3 Nominal Group Technique
5.4 Starbursting
5.5 Cross-Impact Matrix
5.6 Morphological Analysis
5.7 Quadrant Crunching
6. Scenarios and Indicators
6.1 Scenarios Analysis
6.1.1 The Method: Simple Scenarios
6.1.2 The Method: Alternative Futures Analysis
6.1.3 The Method: Multiple Scenarios Generation
6.2 Indicators
6.3 Indicators Validator
7. Hypothesis Generation and Testing
7.1 Hypothesis Generation
7.1.1 Simple Hypotheses
7.1.2 The Method: Multiple Hypotheses Generator
7.1.3 The Method: Quadrant Hypothesis Generation
7.2 Diagnostic Reasoning
7.3 Analysis of Competing Hypotheses
7.4 Argument Mapping
7.5 Deception Detection
8. Assessment of Cause and Effect
8.1 Key Assumptions Check
8.2 Structured Analogies
8.3 Role Playing
8.4 Red Hat Analysis
8.5 Outside-In Thinking
8.6 Policy Outcomes Forecasting Model
8.7 Prediction Markets
9. Challenge Analysis
9.1 Premortem Analysis
9.2 Structured Self-Critique
9.3 What If? Analysis
9.4 High Impact/Low Probability Analysis
9.5 Devil’s Advocacy
9.6 Red Team Analysis
9.7 Delphi Method
10. Conflict Management
10.1 Adversarial Collaboration
10.2 Structured Debate
11. Decision Support
11.1 Complexity Manager
11.2 Decision Matrix
11.3 Force Field Analysis
11.4 Pros-Cons-Faults-and-Fixes
11.5 SWOT Analysis
12. Practitioner’s Guide to Collaboration
12.1 Social Networks and Analytic Teams
12.2 Dividing the Work
12.3 Common Pitfalls with Small Groups
12.4 Benefiting from Diversity
12.5 Advocacy vs. Objective Inquiry
12.6 Leadership and Training
13. Evaluation of Structured Analytic Techniques
13.1 Establishing Face Validity
13.2 Limits of Empirical Testing
13.3 A New Approach to Evaluation
13.4 Recommended Research Program
14. Vision of the Future
14.1 Structuring the Data
14.2 Analyzing the Data
14.3 Conclusions Drawn from This Analysis
14.4 Imagining the Future: 2015
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