Analytic Culture in the U.S. Intelligence Community (PDF) - CIA
Analytic Culture in the U.S. Intelligence Community (PDF) - CIA
Analytic Culture in the U.S. Intelligence Community (PDF) - CIA
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CHAPTER FOUR<br />
provides an effective way of show<strong>in</strong>g who is responsible for what, and nei<strong>the</strong>r<br />
reflects <strong>the</strong> impact of <strong>the</strong> work on <strong>the</strong> <strong>in</strong>dividuals responsible for produc<strong>in</strong>g<br />
<strong>the</strong> reports—particularly <strong>the</strong> analyst—nor <strong>the</strong> reliance of <strong>the</strong> analyst on a variety<br />
of factors beyond his or her control.<br />
In sum, this brief evaluation of <strong>the</strong> <strong>Intelligence</strong> Cycle with respect to its<br />
<strong>in</strong>puts, processes, and outputs shows us that <strong>the</strong> traditional model:<br />
• assumes <strong>the</strong> process works <strong>the</strong> same way for all objectives, regardless of<br />
complexity and cognitive demands;<br />
• does not represent <strong>the</strong> iterative nature of <strong>the</strong> process required for meet<strong>in</strong>g<br />
objectives;<br />
• does not identify responsibilities for complet<strong>in</strong>g steps and allows for misconceptions<br />
<strong>in</strong> this regard;<br />
• does not accurately represent <strong>the</strong> impact of resource availability on analysts.<br />
To better understand <strong>the</strong>se limitations and <strong>the</strong> relationships among elements<br />
<strong>in</strong> <strong>the</strong> process, it is necessary to step back and take a longer view of <strong>the</strong> process,<br />
us<strong>in</strong>g a different method of analysis.<br />
Systemic Analysis<br />
If we th<strong>in</strong>k of <strong>the</strong> phenomenon that is be<strong>in</strong>g described by <strong>the</strong> <strong>Intelligence</strong><br />
Cycle as a system and perform a systems analysis, we may be able to derive a<br />
greater understand<strong>in</strong>g of process relationships, a better representation of <strong>the</strong><br />
variables affect<strong>in</strong>g <strong>the</strong> process, and a greater level of detail regard<strong>in</strong>g <strong>the</strong> process<br />
itself.<br />
The premise that underlies systems analysis as a basis for understand<strong>in</strong>g<br />
phenomena is that <strong>the</strong> whole is greater than <strong>the</strong> sum of its parts. A systems<br />
analysis allows for <strong>the</strong> <strong>in</strong>clusion of a variety of <strong>in</strong>fluences and for <strong>the</strong> identification<br />
of outliers that are obfuscated <strong>in</strong> o<strong>the</strong>r types of analyses but that often<br />
play major roles. A systems analysis is accomplished through <strong>the</strong> exam<strong>in</strong>ation<br />
of phenomena as cause-and-effect patterns of behavior. This approach is<br />
called a “closed feedback loop” <strong>in</strong> systems analysis. It requires a close exam<strong>in</strong>ation<br />
of relationships and <strong>the</strong>ir <strong>in</strong>fluences, provides a longer view of <strong>the</strong>se<br />
relationships, and often reveals new <strong>in</strong>sights based on trends ra<strong>the</strong>r than on<br />
discrete events. 9<br />
The systems model diagrammed below is a visual representation of <strong>the</strong> process.<br />
The elements of <strong>the</strong> <strong>Intelligence</strong> Cycle are identified <strong>in</strong> terms of <strong>the</strong>ir<br />
9<br />
Fritjof Capra, “Criteria of Systems Th<strong>in</strong>k<strong>in</strong>g”; David L. Kaufman, Jr., Introduction to Systems<br />
Th<strong>in</strong>k<strong>in</strong>g.<br />
50