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Analytic Culture in the U.S. Intelligence Community (PDF) - CIA

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TESTING THE INTELLIGENCE CYCLE<br />

relationships with each o<strong>the</strong>r, <strong>the</strong> flow of <strong>the</strong> process, and phenomena that<br />

<strong>in</strong>fluence <strong>the</strong> elements and <strong>the</strong> flow. The model uses four icons to represent<br />

actions and relationships with<strong>in</strong> <strong>the</strong> system: stocks, flows, converters, and<br />

connectors. The icons and <strong>the</strong>ir placement with<strong>in</strong> <strong>the</strong> systems model show <strong>the</strong><br />

relationships of <strong>the</strong> elements of <strong>the</strong> analyzed phenomenon.<br />

The Components of <strong>the</strong> Systems Model<br />

Icon<br />

Stock<br />

Flow<br />

Converter<br />

Flow<br />

Stock<br />

Purpose<br />

Stocks represent accumulations. These are quantities<br />

that can <strong>in</strong>crease or decrease, such as <strong>the</strong> amount of<br />

work that needs to be completed, <strong>the</strong> time available <strong>in</strong><br />

which to do it, experience one might br<strong>in</strong>g to a task.<br />

Flows represent activities. They control <strong>the</strong> fill<strong>in</strong>g or<br />

dra<strong>in</strong><strong>in</strong>g of stocks, caus<strong>in</strong>g conditions to change.<br />

Converters change <strong>in</strong>puts <strong>in</strong>to outputs. They usually<br />

represent <strong>the</strong> variables that <strong>in</strong>itiate change. In <strong>the</strong><br />

example, a converter might represent a sudden and<br />

drastic world event.<br />

Connectors l<strong>in</strong>k elements to o<strong>the</strong>r elements,<br />

represent<strong>in</strong>g assumptions about what depends on<br />

what.<br />

Converter<br />

The systems model of <strong>the</strong> <strong>Intelligence</strong> Cycle provides <strong>in</strong>sights <strong>in</strong>to <strong>the</strong> process<br />

of analysis as well as o<strong>the</strong>r factors that can <strong>in</strong>fluence <strong>the</strong> successful and timely<br />

completion of an <strong>in</strong>telligence task. It also provides a way to understand <strong>the</strong><br />

impact of change <strong>in</strong> any area of <strong>the</strong> <strong>Intelligence</strong> Cycle on o<strong>the</strong>r elements, ei<strong>the</strong>r<br />

through reflection or by apply<strong>in</strong>g ma<strong>the</strong>matical values to <strong>the</strong> <strong>in</strong>fluences and relationships<br />

and runn<strong>in</strong>g simulations of <strong>the</strong> model.<br />

Demand. As <strong>in</strong> <strong>the</strong> traditional <strong>Intelligence</strong> Cycle model, <strong>the</strong> systems model<br />

beg<strong>in</strong>s with requirements for <strong>in</strong>formation that generally come from policymakers.<br />

These requirements are represented by a stock (found <strong>in</strong> <strong>the</strong> upper<br />

left-hand quarter of <strong>the</strong> diagram) because <strong>the</strong>y can <strong>in</strong>crease or decrease based<br />

on <strong>the</strong> level of need for <strong>in</strong>formation (a flow). The change <strong>in</strong> level of need is<br />

<strong>in</strong>fluenced by national and world events, as well as by new questions or<br />

requests for clarification of items <strong>in</strong> previously delivered products. Each<br />

request does not contribute equally to <strong>the</strong> amount of work, which is <strong>in</strong>fluenced<br />

by <strong>the</strong> types of documents or products requested, <strong>the</strong> complexity of <strong>the</strong> prod-<br />

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