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ACH
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Analysis of Competing Hypotheses (ACH) is an analytic process that identifies a complete set of alternative hypotheses, systematically evaluates data that is consistent and inconsistent with each hypothesis, and rejects hypotheses that contain too much inconsistent data. It is a simple model for how to think about a complex problem. The ACH methodology was developed by Richards J. Heuer, Jr. The method for analyzing competing hypotheses takes time and attention in the initial stages, but pays big dividends in streamlining management and coordination of analytic positions. ACH is particularly useful for issues that require a careful weighing of alternative explanations of what has happened or is happening. It can also be used to provide early warning or to help you evaluate alternative scenarios of what might happen in the future. ACH helps you overcome, or at least minimize, some of the cognitive limitations that make prescient intelligence analysis so difficult; it helps clarify why analysts are talking past one another and do not understand each other's interpretation of the data. ACH is grounded in basic insights from cognitive psychology, decision analysis, and the scientific method. It helps analysts protect themselves from avoidable error and improve their chances of making the right call. You can download the ACH software tool from here. Click HERE if you would like to practice using the ACH tool. The following articles provide more information about ACH and its value for intelligence analysis:
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ThinkSuite™, Multiple Hypotheses Generator™, Te@mACH™ and Indicators Validator™ are registered trademarks of Globalytica, LLC |
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